38 results about "Texture rendering" patented technology

A system for encoding and compressing images and textures to a bitstream as an executable program of computer instructions operable on pixel space, permitting the Encoder to arbitrarily determine the order, location and method used for reconstructing the components of an image at the decoder. The bitstream is typically further compressed by an Adaptive Entropy Compressor. Bitstream execution reconstructs the image directly to pixel space. Memory management and parallel processing controls may be embedded in the bitstream. The system is optimised for AI processing of images with a universally interpretable construction format that enables machines and humans to understand precisely how the image was created and can be reconstructed. Dual bitstreams may be combined at the decoder for securely embedding customised content (e.g., advertising) at the edge.

The invention relates to the technical field of image processing, in particular to a numerical control milling machine workpiece three-dimensional modeling method and system. The method comprises the following steps: clamping a workpiece on a numerical control milling machine, controlling the workpiece to rotate at a constant speed, synchronously performing axial feeding, and collecting a correction spiral image sequence and a groove bottom image sequence; performing space-time registration on the corrected spiral image sequence and the groove bottom image sequence to extract workpiece modeling feature data; performing conversion from polar coordinates to rectangular coordinates based on the workpiece modeling feature data, resolving three-dimensional space coordinates and corresponding surface attribute values, and generating workpiece three-dimensional point cloud data; and inputting the three-dimensional point cloud data of the workpiece into three-dimensional modeling software, and carrying out gridding processing and texture rendering to obtain a three-dimensional digital model of the workpiece. According to the method, the workpiece is driven to execute self-adaptive tracking spiral motion, so that visual shielding caused by dense threads is avoided, and high-precision three-dimensional modeling of the small-helix-angle deep-groove workpiece is achieved.

This invention relates to the field of augmented reality technology and discloses an augmented reality image synthesis method based on the optical properties of pearlescent pigments. The method includes: acquiring spectral reflectance data of pearlescent pigments under different illumination and viewing angles; analyzing the spectral reflectance data to calculate color correlation metrics under multiple angle combinations, thereby determining the delay parameter for signal transmission between angles; using the delay parameter and the distribution characteristics of the spectral reflectance data within a preset time interval to derive a gloss fluctuation index of the pearlescent pigment within the time interval; combining the gloss fluctuation index and the attribute differences of the spectral reflectance data after frequency domain transformation to evaluate the synthesis interference probability at each frequency point and extract key interference frequencies; integrating the distribution patterns of all key interference frequencies to generate an image rendering error probability; and finally adjusting the texture rendering parameters of virtual objects in the augmented reality scene according to the image rendering error probability to achieve the generation and output of the synthesized image.

At least one of material IDs is changed to a different material ID for each of voxels corresponding to a voxel update range, and a display mesh is updated in association with updated voxel data. In addition, generating an in-game behavior based on collision determination between a determination mesh in which a material is determined based on at least a plurality of materials ID included in voxel data, and a determination shape corresponding to a determination target, and a virtual space including a display mesh is rendered based on vertex coordinates of the display mesh and a texture corresponding to a material for the display mesh.

An example of an information processing system generates a display mesh based on voxel data. The information processing system generates a voxel update range in a virtual space, based on game processing, and updates at least one of a density and a material ID, in the voxel data, for each of voxels corresponding to the voxel update range. The information processing system updates the display mesh corresponding to the updated voxel data. The information processing system, based on collision determination between a determination mesh and a determination shape corresponding to a determination target, generates an in-game behavior according to a material of the determination mesh at a collision position. The information processing system renders a virtual space including the display mesh, based on a texture corresponding to the material of the display mesh.

A method of rendering a stereoscopic image of an object is described. The stereoscopic image comprises a left image and a right image. The method comprises initialising a computer model of the object (200) and a texture mapping for rendering the computer model with a texture. The method comprises the steps of receiving a first image of the object from a first image sensor (14a), receiving a second image of the object from a second image sensor (14b), receiving head tracking data of the observer (360), determining one or more render camera viewpoints relative to the computer model based on the head tracking data, and rendering the stereoscopic image based on the computer model and the texture mapping using the one or more render camera viewpoints, wherein the left image of the stereoscopic image is rendered using the first image as the texture and the right image of the stereoscopic image is rendered using the second image as the texture.

The invention relates to a multiband infrared adversarial sample generation method and device, equipment and a medium. The method comprises the following steps: constructing a three-dimensional model based on target real data, rendering to-be-optimized confrontation textures to the surface of the model by adopting a neural rendering technology, generating a confrontation texture three-dimensional model, processing the confrontation texture three-dimensional model by a differentiable neural renderer to obtain a two-dimensional rendered graph, and converting the two-dimensional rendered graph into grey-scale maps corresponding to short-wave, medium-wave and long-wave infrared rays. A mask is generated through semantic segmentation, a random background is superposed, an optimized sample matched with the real radiation characteristics of each wave band is generated in combination with style migration, and the target detection network feeds back iterative optimization confrontation textures and is finally arranged on the target surface to realize multi-band infrared interference detection. The method can realize full-band effective interference, is strong in robustness and high in concealment, is adaptive to various detection systems, and improves the target safety protection capability.

The invention discloses a visual language model intelligent confrontation method based on multi-modal collaboration and a related device. Inputting the rendered image rendered by the benign camouflage texture into the white-box visual language model, and maximizing the difference of different images to obtain a target antagonistic texture; inputting the adversarial image rendered by the benign text instruction and the target adversarial texture into a plurality of different visual language models to obtain a plurality of different suffixes, and screening out a target suffix which enables the total attack loss value of the plurality of visual language models to be minimum from the suffixes; inputting the target antagonistic texture and a target text instruction combined by the benign text instruction and the target suffix into a black box visual language model to obtain an error instruction; a composite threat model fusing physical deployability and digital high mobility is constructed, and a comprehensive safety test benchmark and a technical basis are provided for evaluating and improving the safety of an automatic driving visual language model.

The application provides a method and system for generating personalized music based on AI, and related equipment, the method comprising receiving a multi-modal creation request of a user, the request including one or more of a text description, an image, a video, and a humming melody; preprocessing and cross-modal semantic analysis of the multi-modal creation request to generate structured music semantic parameters; then using a structure generation model to generate a symbolic intermediate representation of information defining the structure of the musical form, harmony, and melody based on the music semantic parameters, and then rendering a multi-track audio containing specific instrument timbre and performance details through a texture rendering model conditioned on the intermediate representation; finally, adaptive mixing and mastering of the audio to output a final music file. The method of the application realizes diversified user input, controllable music structure, and automatic post-processing, thereby improving the intelligent level of personalized music production.

This application provides a road rendering method, apparatus, device, and storage medium. The method includes: acquiring road auxiliary points corresponding to each landmark point in a navigation route and the texture coordinates of the road auxiliary points; determining the texture rendering value of each road surface point based on the texture coordinates of the road auxiliary points and a predefined road surface transparency transformation relationship; and rendering the corresponding virtual navigation road based on the texture rendering value of each road surface point. The embodiments of this application can achieve single rendering of multiple effects within a virtual navigation road, eliminating the need for multiple rendering operations to overlay various road effects, simplifying the tedious steps of road rendering, and improving the efficiency and personalization of road rendering.

The invention provides a method and device for performing texture rendering on a model, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps that the rendering calculation amount of each edge in a to-be-rendered model is predicted, and the rendering calculation amount represents the predicted calculation amount needed for rendering each edge; predicting a total rendering calculation amount of the model based on the predicted rendering calculation amount; based on the performance parameters of the electronic equipment and the total rendering calculation amount, the rendering rate is determined, and the rendering rate represents the number of models which can be rendered by the electronic equipment in unit time; and determining a texture quality parameter matched with the rendering rate, and rendering the surface of the model by using texture data corresponding to the texture quality parameter to obtain a texture map. Through the method, the quality of the texture data of the model can be accurately adapted according to the performance of the electronic equipment.

The method for realizing the shadow function of the server decoration window based on wlroots comprises the following steps: preparing eight pictures for realizing the shadow function and placing the pictures under the root directory; converting the pictures into a shadow_element structure; converting the pictures into a buffer, calling the width, height, step and format data of the pictures from the buffer, and filling the data into the structure of the pictures; converting the structure into a corresponding texture; rendering a rect node, associating the texture of the pictures with the rect node according to the sequence; calculating the actual position of the shadow on the screen; cutting to form a cutting area; and rendering the texture to the cutting area to form the shadow function. The method fully utilizes the existing extended hidden area of the window, does not need to increase the buffer and the rect node, does not need to separately modify the shader and the backend function, ensures the code uniformity, and realizes the shadow function.

The application relates to the rendering technical field, in particular to a texture rendering method, device, equipment and program product. The method comprises the following steps: acquiring vertex data of N small texture images, wherein N is a positive integer, and the vertex data comprises index information corresponding to each small texture image; inputting the vertex data of the N small texture images into a shader; and calling the shader to render each small texture image based on the index information. The application can improve the rendering efficiency of texture rendering on a device with low computing performance.

This invention discloses a comprehensive visual super-resolution method based on neural networks. Through a two-stage optimization process of offline training and online deployment, it achieves real-time super-resolution reconstruction of remote sensing images on an edge computing platform. In the offline stage, a physics-data hybrid-driven training dataset is constructed, including optical MTF analysis, atmospheric turbulence simulation, and sinc artifact enhancement. A dynamic network, RAG-SRNet, is designed to adaptively switch the RRDB computation path based on the screen projection size, and training is performed using remote sensing-specific perception loss, RaGAN adversarial loss, and spectral angle loss. In the online stage, TensorRT INT8 quantization and mixed-precision optimization are employed. CUDA-OpenGL zero-copy memory mapping enables the reuse of memory addresses for the inference output buffer and texture objects. Asynchronous inference thread pools and hardware semaphore synchronization are used to achieve pipelined parallelism for tile requests, super-resolution computation, and texture rendering. Compared to existing methods, this invention significantly improves PSNR, increases frame rate by over 25%, and reduces CPU usage by 77%, providing an industrial-grade visual enhancement solution for aerospace simulation and autonomous driving.

The invention relates to a multi-source data driven three-dimensional model texture rendering system and method, and the system comprises a multi-source input parameter processing module which is used for receiving and processing multi-source input data from a user instruction and a light and shadow environment; the AI texture calculation decision module is connected to the multi-source input parameter processing module and is used for analyzing a user intention through an artificial intelligence technology based on the multi-source input data and generating a texture decision; the texture state and application rendering module is connected to the AI texture calculation decision module and is used for dynamically managing and rendering the texture state of the three-dimensional model in real time according to the texture decision, so that multi-source data driving of natural interaction, environment self-adaption and intelligent decision can be realized, intelligent association between texture expression and environment factors is established, and the application rendering module is used for rendering the texture state of the three-dimensional model according to the texture decision. And intelligent fusion and coordination of multi-source data are realized.

The embodiment of the invention provides a scene rendering method and device, equipment and a storage medium. The method comprises the following steps: determining a corresponding visible texel set according to a mapping texel point of each pixel point in a current to-be-rendered frame in a target texture image of a specified rendering scene; the visible texel sets are reported to a server side, so that the server side combines the visible texel sets reported by multiple terminals into a visible texel union set, and the visible texel union set is issued to each terminal through a reference texture image subjected to texture rendering; and according to the reference texture image, rendering the current to-be-rendered frame and then displaying the current to-be-rendered frame. According to the embodiment of the invention, one-time efficient texture rendering and texture rendering multiplexing of multiple terminals in the texture space for the specified rendering scene can be realized, the repeated texture rendering overhead of the multiple terminals for each rendering of the specified rendering scene is greatly reduced, and the rendering frame rate and smooth display of each terminal for the specified rendering scene are improved.

Provided in the embodiments of the present application are a texture generation method and apparatus, and a computer device, a storage medium and a program product. The texture generation method comprises: acquiring guidance information of a geometric model and a mesh file of the geometric model, wherein the guidance information contains texture information, and the texture information is used for indicating a preset texture style; on the basis of the mesh file of the geometric model, using at least one depth rendering camera to perform depth rendering processing on the geometric model from at least one viewpoint, so as to obtain a depth map of the geometric model at each viewpoint; and on the basis of the texture information in the guidance information and the depth map of the geometric model at each viewpoint, performing texture rendering processing on the geometric model, so as to obtain a texture map of the geometric model, wherein the actual texture style of the texture map is consistent with the preset texture style indicated by means of the texture information. By means of the embodiments of the present application, the generation quality of a texture map can be improved.

The invention provides a rendering method and electronic equipment. The to-be-rendered content between the application process and the rendering process can be dynamically balanced, so that the rendering efficiency is improved, and the equipment performance is improved. The method comprises the steps that a first application process generates a first rendering node tree; wherein the first rendering node tree is used for drawing a first application interface of the first application process, and the first rendering node tree comprises a rendering node corresponding to first content in the first application interface and a rendering node corresponding to second content in the first application interface. And the first application process generates a first texture corresponding to the first content according to the first rendering node tree. And the rendering process draws the second content according to the first rendering node tree generated by the first application process. And the rendering process generates a first application interface of the first application process according to the second content and the first texture.

The invention relates to the technical field of augmented reality, and discloses an augmented reality image synthesis method based on optical characteristics of pearlescent pigments. The method comprises the following steps: collecting spectral reflection data of pearlescent pigment at different illumination angles and observation angles; by analyzing the spectral reflection data, calculating color correlation measurement under a plurality of angle combinations, and further determining delay parameters of signal transmission between angles; deducing a gloss fluctuation index of the pearlescent pigment in a preset time interval by using the distribution characteristics of the delay parameter and the spectral reflection data in the preset time interval; evaluating a synthetic interference probability on each frequency point and extracting a key interference frequency point by combining the attribute difference of the gloss fluctuation index and the spectral reflection data after frequency domain transformation; integrating the distribution modes of all the key interference frequency points, and generating an image rendering error probability; and finally, adjusting texture rendering parameters of a virtual object in the augmented reality scene according to the image rendering error probability to realize generation and output of a synthetic image.

The embodiment of the invention discloses a display control method and device and a head-mounted display device.The method comprises the steps that in the running process of a 3D desktop application, in response to a starting request for starting a first 2D application, a first horizontal screen canvas, a first vertical screen canvas, a first horizontal screen virtual screen and a first vertical screen virtual screen are created in the 3D desktop application; under the condition that the horizontal and vertical screen state attribute of a first Activity of the first 2D application indicates that the first Activity is in a vertical screen state, running the first Activity on the first vertical screen virtual screen, and rendering the texture of the first vertical screen virtual screen to the first vertical screen canvas; and under the condition that the horizontal and vertical screen state attribute of the first Activity indicates that the first Activity is in a horizontal screen state, running the first Activity on the first horizontal screen virtual screen, and rendering the texture of the first horizontal screen virtual screen to the first horizontal screen canvas.

The invention provides a water ripple generation method and apparatus, and an electronic device. The method comprises the steps of obtaining a terrain model and a water surface model located on the terrain model; determining a boundary area of the terrain model and the water surface model; wherein the boundary area is used for indicating the area where the waterline is located; for each vertex in the water surface model, determining a junction point closest to the vertex in the junction area, and determining a water flow direction corresponding to the vertex and a spatial distance between the vertex and the junction area based on the junction point; and based on the water flow direction and the spatial distance corresponding to each vertex in the water surface model, performing texture rendering on the terrain model and the water surface model to obtain a model with a water ripple flowing effect. According to the mode, the automatic matching of the water ripples and the terrain model is realized, the link of manually adjusting the water ripples is reduced, the authenticity of the adaptation of the water ripple flow direction and the waterline terrain is improved, and the generation efficiency of the water ripple flow effect is also improved.

The present disclosure provides a scene rendering method, an electronic device and a storage medium, wherein the scene rendering method includes: acquiring an opaque object and a transparent object in a scene to be rendered; creating a first color texture with a first rendering resolution, and rendering the opaque object based on the first color texture to obtain a first rendering result; creating a second color texture with a second rendering resolution and copying the first rendering result onto the second color texture; rendering the transparent object based on the second color texture copied with the first rendering result, to obtain a second rendering result; performing first extraction on a color of the transparent object in the second rendering result, to obtain a third rendering result; and synthesizing the third rendering result and the first rendering result to obtain a rendered scene image.

The invention provides a texture rendering method and device and electronic equipment, and the method comprises the steps: carrying out the step number adjustment processing of the initial sampling step number of a pixel for each pixel on the surface of a target model in a current frame, and obtaining the target sampling step number of the pixel; the target sampling step numbers of at least part of pixels after the step number adjustment processing are different; determining a target step length according to the target sampling step number; determining a target sampling point of the pixel according to the target step length of the pixel in a parallax mapping shielding mode; rendering the surface of the target model based on texture information of pixels to obtain a current frame; and mixing the pixel value of the current frame and the pixel value of the historical frame to obtain a processed current frame. In the mode, the initial sampling step number of each pixel is randomly adjusted, so that the target sampling step number of each pixel is different, sampling phases of adjacent pixels are staggered, and through a mixing mechanism of the current frame and the historical frame, the performance consumption is reduced and the rendering effect is improved while artifacts are solved.

The embodiment of the invention provides a texture rendering method and device.The texture rendering method comprises the steps that a texture map, a flow field map corresponding to the texture map and a plurality of preset sampling timestamps are obtained, and the flow field map comprises the disturbance direction of texture coordinates and the disturbance intensity of the texture coordinates; based on the disturbance direction of the texture coordinates and the disturbance intensity of the texture coordinates, layered sampling corresponding to the multiple sampling timestamps is carried out on the texture map, and sampling textures of multiple sampling layers are obtained; performing periodic parameter calculation on the plurality of sampling layers based on the plurality of sampling timestamps to obtain sampling layer parameters of the plurality of sampling layers; and based on the sampling layer parameters of the plurality of sampling layers, fusing the sampling textures of the plurality of sampling layers to obtain a texture rendering result. The visual richness of the water body is remarkably improved, the representation authenticity and the environment fusion degree of the water body in a complex open scene are practically enhanced, and the method can be widely applied to the field of digital culture product manufacturing software.

The invention discloses an image texture migration method based on a time sequence decoupling diffusion model. The method comprises the following steps: acquiring a content image to be processed and a target texture image; random noise is initialized, a reverse denoising process of the pre-training diffusion model is entered, the reverse denoising process comprises a structure dominant stage and a texture rendering stage, the denoising process is completed, and a texture migration image is decoded and output. According to the method, the time sequence division characteristic of the diffusion model generation process is utilized, the problem that structure maintenance and texture alignment are difficult to consider in a texture migration task is effectively solved, high-fidelity texture replacement can be achieved on the premise that the original structure of an object is not damaged, and the method has the advantages of being free of training, high in interactivity, high in generation quality and the like.

Techniques and systems are provided for three-dimensional model segmentation. For instances, a process can include: rendering a three-dimensional (3D) model of an object based on a 3D mesh model and a texture of the object; generating a view of the 3D model based on the rendered 3D model; generating a texture space mask based on the texture of the object using a first machine learning (ML) model; generating a labeled mask based on a second ML model; assigning labels to the texture space mask based on the labeled mask to obtain a labeled texture space mask; and generating a 3D mask based on the labeled texture space mask.

An example of an information processing system updates, based on game processing, voxel data in which at least a density and a material are set, and a display mesh is generated and updated based on the density and the material included in the voxel data. A virtual space including the display mesh is rendered based on vertex coordinates of the display mesh and a texture corresponding to the material of the display mesh. When an event occurs based on game processing, the information processing system generates a first voxel update range in a virtual space, and performs update to, in the voxel data, reduce the density of each of voxels corresponding to the first voxel update range in the virtual space, and change the material of each of voxels corresponding to a second voxel update range having a size that encompasses the first voxel update range.

The invention provides a texture rendering method and device of a stereoscopic model, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps that a first three-dimensional model is converted into a second three-dimensional model under a spherical coordinate system, and the coordinate system used by the first three-dimensional model is different from the spherical coordinate system; segmenting the second three-dimensional model into a plurality of sub-models; voxelization is carried out on the multiple sub-models, multiple voxel data sets are obtained, and one sub-model corresponds to one voxel data set; combining a plurality of voxel data sets into a voxel data set of a third stereoscopic model; and rendering the texture of the third stereoscopic model based on the voxel data in the surface area of the third stereoscopic model in the voxel data set of the third stereoscopic model. According to the invention, the efficiency and flexibility of model texture rendering can be improved.

This invention provides a robust adversarial camouflage generation method, system, and storage medium for monocular depth estimation in multi-view and complex environments. The method includes: Step S1, scene data acquisition: acquiring forward image data during vehicle movement; Step S2, adversarial texture rendering; Step S3, multi-view image acquisition: randomly selecting different angles, distances, and bias parameters, obtaining the corresponding camera positions through a transformation function, and using a differentiable renderer to obtain multiple object images with different angles, distances, and offsets, along with corresponding masks; Step S4, complex physical domain environment enhancement; Step S5, adversarial loss: constructing an adversarial loss function; Step S6, multi-view joint optimization. The beneficial effects of this invention are: overcoming the limitations of existing methods for object detection models and their difficulty in directly transferring to regression tasks, achieving robust multi-view adversarial attacks against texture-sensitive models like MDEs in complex physical domains.