21 results about "Texture transfer" patented technology

The invention discloses a lightweight image style migration method based on color and texture dual channels. The method is characterized in that firstly, a style image and a content image data set are prepared and normalized, and an image style migration model is constructed and trained; adjusting the to-be-migrated image to be 512 * 512 pixels, and carrying out normalization on the to-be-migrated image; then, the image is input into a color and texture style encoder, and color and texture features are extracted respectively; the features are then sent to corresponding decoders, and color and texture migration features are generated; and finally, fusing the two features, and generating a high-quality image with a target style through a fusion decoder. According to the invention, a color and texture dual-channel design is introduced, and an encoder-decoder structure is adopted, so that efficient and high-quality image style migration is realized. Meanwhile, the method provided by the invention has the characteristic of light weight, can generate a stylized image with an excellent visual effect while keeping relatively low calculation overhead, and has a wide application prospect.

The invention relates to the technical field of signal transmission, computer vision, image recognition, printing and the like, and provides a method and a system for transferring textures in a mobile phone shell based on visual recognition and the mobile phone shell. When the in-place positioning pieces are inserted into all the positioning hole positions, prompting to coat transfer printing glue, controlling the texture mold to be attached to the transfer printing surface of the mobile phone shell base material in an in-place manner, carrying out internal texture transfer printing, carrying out light curing and image shooting on the transfer printing surface after transfer printing, and obtaining a texture transfer printing image; the texture deviation state, the miscellaneous point state, the scratching state, the stripe printing state and the crystal point state of the texture on the transfer printing face are analyzed through a texture analysis algorithm, the mobile phone shell base material with the qualified transfer printing face texture appearance flows into the next procedure, and therefore the insertion state of the positioning piece and the transfer printing face texture appearance are intelligently detected, and the detection efficiency and precision are improved.

A computer-implemented method for simplifying a textured polygonal mesh of a three-dimensional model, the method comprising: obtaining 3D mesh data and texture data related to a first textured polygonal mesh, the first textured polygonal mesh having a first level of detail, the texture data comprising a plurality of texels; generating, based on the 3D mesh data, a simplified polygonal mesh for a second level of detail, the second level of detail being lower than the first level of detail; generating, based on the texture data, a simplified texture for the simplified polygonal mesh; and providing a simplified textured polygonal mesh based on the generated simplified polygonal mesh and the generated simplified texture.

Systems and methods for augmenting images can utilize one or more image augmentation models and one or more texture transfer blocks. The image augmentation model can process input images and one or more segmentation masks to generate first output data. The first output data and the one or more segmentation masks can be processed with the texture transfer block to generate an augmented image. The input image can depict a scene with one or more occlusions, and the augmented image can depict the scene with the one or more occlusions replaced with predicted pixel data.

The present invention discloses an image super-resolution system based on a reference image, including a feature extraction module, a texture migration module and an image reconstruction module; the feature extraction module is used to extract features from an input low-resolution image to generate a feature map corresponding to the low-resolution image, the texture migration module migrates high-definition texture details from a reference high-resolution image and fuses them into the feature map extracted from the low-resolution image, and the image reconstruction module reconstructs a high-resolution image of the size of a target image from the fused feature map. The present invention can achieve performance superior to that of a single image super-resolution method, and can better restore the lost texture details of a low-resolution image when a reference image with a certain correlation is given. The present invention can be extended to real-world dual-camera datasets and other tasks, such as video super-resolution and video denoising, and has potential market and application value.

Mesh simplification reduces the complexity of 3D objects while maintaining visual fidelity. While there are effective techniques for mesh simplification for simple meshes, in actual use cases it may be difficult to simplify more complicated meshes. A technical solution retrieves an initial mesh (e.g. a triangle mesh) and constructs an edge list including physical and virtual edges for the initial mesh. The initial mesh is then decimated by iteratively collapsing the edges, prioritized based on a modified quadric error metric that may combine a memory edge quadric error and a memoryless area quadric error. The technical solution may maintain a correspondence map during the decimating and use it to perform texture transfer after simplification based on the correspondence map.

The present invention discloses an AI generation method for visual product appearance, which provides auxiliary reference and inspiration for industrial product appearance designers. When an original product, a target object and an artistic style picture are input, the method deforms the texture appearance of the original product into the shape of the target object, thereby forming a new product, and at the same time transfers the artistic style to the new product, ultimately forming a wonderful visual product appearance. The method is named industrial style transfer, which consists of two parts: a large-scale geometric deformation module and an interest-preserving texture transfer module. Among them, the large-scale geometric deformation module aims to learn the conversion between the shape masks of the original product and the target object in an unsupervised manner to achieve large-scale geometric deformation. The interest-preserving texture transfer module introduces an interest regularization term on the traditional texture style transfer, so that important content details in the original product can be retained as much as possible after the texture transfer.

The invention pertains to a computer-implemented method for simplifying a textured polygonal mesh of a three-dimensional model, the method comprising: obtaining 3D mesh data and texture data related to a first textured polygonal mesh, the first textured polygonal mesh having a first level of detail, the texture data comprising a plurality of texels; generating, based on the 3D mesh data, a simplified polygonal mesh for a second level of detail, the second level of detail being lower than the first level of detail; generating (150), based on the texture data, a simplified texture for the simplified polygonal mesh; and providing a simplified textured polygonal mesh based on the generated simplified polygonal mesh and the generated simplified texture, wherein generating the simplified texture comprises: converting (152) the first textured polygonal mesh to a coloured point cloud, wherein each point of the point cloud corresponds to one texel; spatially sorting (154) the points of the point cloud; projecting (156) the points of the point cloud to a surface of the simplified polygonal mesh; and filtering (158) the projected points using a resampling filter.

The invention relates to an image style migration method and device based on similarity measurement guide area self-adaption, which can generate a naturally coordinated stylized image, realize self-adaptive style migration based on a semantic area, enhance the detail capture capability of a model, and generate a visually satisfactory high-quality image while keeping the complete structure of the image. The method comprises the following steps: inputting features extracted from content and style images into a texture migration module guided by similarity measurement, and guiding a Transform decoder to fuse the content and style features by a cross attention module based on a Gaussian kernel function; the method comprises the following steps: respectively dividing a content image Ic and a style image Is into local image blocks, expanding each image block into a feature vector, respectively constructing a content feature matrix Vc and a style feature matrix Vs, sequentially calculating a similarity matrix # imgabs0 # # imgabs1 # between all content blocks and style blocks by using a Gaussian kernel function as an attention mask to modulate cross attention calculation, attention distribution is guided through semantic similarity, and accurate matching of the content and the style area is achieved.

The invention discloses a texture transfer film and a preparation method thereof, and the texture transfer film comprises a carrier layer with a first texture on one side; the transparent hardened layer is arranged on the side, with the first texture, of the carrier layer; the bonding layer is arranged on one side, far away from the carrier layer, of the transparent hardened layer; wherein the transparent hardened layer is formed by coating transparent hardened glue on the carrier layer and curing the transparent hardened glue, the first texture is correspondingly formed on the side, facing the carrier layer and provided with the first texture, of the transparent hardened layer, the other side of the transparent hardened layer is provided with the second texture, and the bonding layer is formed by bonding glue and is in a molten state after being heated and activated. The bonding layer is activated to cover the product in the molten state, the outer side of the transparent hardened layer transferred to the product after curing is the first texture, the inner side of the transparent hardened layer is the second texture, the transparent hardened layer is in the transparent state, the second texture towards the outer side and the inner side can be displayed, and meanwhile the second texture is protected and prevented from being damaged; and the second texture is prevented from being scratched and is scratch-resistant.

The present invention discloses an embossing texture transfer device, specifically related to the field of embossing devices, which includes a machine body, an embossing chamber provided on the machine body, a pressure-bearing mold connected in the embossing chamber, and an embossing mold structure located above the pressure-bearing mold in the embossing chamber; it also includes an anti-deviation mechanism for limiting the transmission of the printed matter to be printed. The present invention can precisely adjust the distance between the first sliding seat and the second sliding seat, as well as between the first adjusting clamp and the second adjusting clamp, and synchronously adjust the blocking rod and the anti-deviation guiding and pressing wheel, so as to be applicable to the limiting and guiding of printed matter of different widths; after the adjustment is completed, the printed matter is introduced from the incoming and outgoing slots for the printed matter to be printed on one side of the embossing chamber. At this time, the printed matter is limited under the action of the blocking rods on both sides, and at the same time, the edges of the printed matter are pressed under the action of the anti-deviation guiding and pressing wheel, which can prevent deviation during embossing, effectively reducing the rejection rate of the printed matter, greatly improving the printing accuracy and printing effect, and improving the printing efficiency.

A method includes determining a plane of symmetry dividing a grid into a first side and a second side opposite the first side; performing an extraction process on the first side of the grid to generate an extracted first side of the grid; performing UV re-parameterization on the extracted first side of the grid to generate a first side UV re-parameterized grid; performing a texture transfer on the first side UV reparameterized grid to generate a first side texture image; determining whether the first side texture image shows a texture symmetry degree satisfying a condition with a second side of the grid; and based on a determination that the condition is not satisfied, performing a symmetric texture transfer process between the first texture coordinates on the first side and the second texture coordinates on the second side.

The application provides an image generation method based on style content adaptive normalized pose guidance, belonging to the technical field of image synthesis, inputting a person image, selecting a source image and a target image in the person image, generating a target person image consistent with the source image style and the same as the target image pose, first, the pose information transfer is performed in advance by using an aligned multi-scale content transfer network to predict a target edge map, which not only retains the texture content but also can relieve the spatial dislocation. Secondly, the source style feature is gradually transferred to the target pose and reasonable arrangement is realized by using a style texture transfer network, which is realized by a style adaptive normalization generator, the source style feature, the target pose and the edge are mapped in the same hidden space, the consistency of the style texture and the content is enhanced by adaptively adjusting the source style and the target pose, so that the source style feature is retained to enhance the texture details of the target generation.

The invention relates to texture transfer in mesh simplification. The invention relates to a computer-implemented method for simplifying a textured polygon mesh of a three-dimensional model, comprising: obtaining 3D mesh data and texture data associated with a first textured polygon mesh, the first textured polygon mesh having a first level of detail, the texture data comprising a plurality of texels; generating a simplified polygon mesh for a second level of detail based on the 3D mesh data, the second level of detail being lower than the first level of detail; generating (150) a simplified texture for simplifying the polygon mesh based on the texture data; providing a simplified textured polygon mesh based on the generated simplified polygon mesh and the generated simplified texture, generating the simplified texture comprising: converting (152) the first textured polygon mesh into a color point cloud; spatially ranking the points of the point cloud (154); projecting (156) points of a point cloud to a surface of the simplified polygon mesh; the projected points are filtered (158) using a resampling filter.

The invention relates to the technical fields of signal transmission, computer vision, image recognition and printing, and provides a method, system and mobile phone case for transferring texture inside a mobile phone case based on visual recognition. The method judges whether the positioning piece is inserted in place by sensing an insertion state signal of a positioning piece inserted into a positioning hole. When all the positioning holes have been inserted with the positioning piece in place, a prompt is given to apply transfer glue, and a texture mold is controlled to be aligned and fitted with a transfer surface of a mobile phone case substrate to perform internal texture transfer. The transferred transfer surface is photocured and an image is taken to obtain a texture transfer image. The texture offset state, the noise state, the scratch state, the stripe printing state and the crystal point state of the texture on the transfer surface are analyzed by a texture analysis algorithm, so that the mobile phone case substrate with qualified transfer surface texture appearance flows into the next process, thereby realizing intelligent detection of the insertion state of the positioning piece and the transfer surface texture appearance, and improving detection efficiency and accuracy.

The present invention discloses a three-dimensional style transfer method for single-view images, providing more innovative three-dimensional models for the field of three-dimensional modeling. When an original image and a target image of the same category are input, this method transfers the shape features and textures of the target in the target image to the target in the original image to form an innovative three-dimensional target. This method consists of two parts: a shape transfer module and a texture transfer module. The shape transfer module aims to extract and fuse the three-dimensional shape features in two single-view images to achieve the transfer of shape features and realize three-dimensional shape transfer based on single-view images. The texture transfer module adds a mask to the traditional texture style transfer to achieve controllable partial texture style transfer.

Approaches presented herein can utilize a network that learns to embed three-dimensional (3D) coordinates on a surface of one or more 3D shapes into an aligned two-dimensional (2D) texture space, where corresponding parts of different 3D shapes can be mapped to the same location in a texture image. Alignment can be performed using a texture alignment module that generates a set of basis images for synthesizing textures. A trained network can generate a basis shared by all shape textures, and can predict input-specific coefficients to construct the output texture for each shape as a linear combination of the basis images, then deform the texture to match the pose of the input. Such an approach can ensure alignment of textures, even in situations with at least somewhat limited network capacity. To unwrap shapes of complex structure or topology, a masking network can be utilized that cuts the shape into multiple pieces to reduce the distortion in the 2D mapping.

A method includes determining a symmetry plane that the divides a mesh into a first side and a second side opposite the first side; performing, on the first side of the mesh, a decimation process to generate a decimated first side of the mesh; performing UV reparameterization on the decimated first side of the mesh to generate a first side UV reparameterized mesh; performing texture transfer on the first side UV reparameterized mesh to generate a first side texture image; determining whether the first side texture image exhibits a degree of texture symmetry with the second side of the mesh that satisfies a condition; and based on a determination that the condition is not satisfied, performing a symmetry texture transfer process between a first texture coordinate on the first side and a second texture coordinate on the second side.

Systems and methods are provided for transferring color from a candidate garment not suitable for a virtual try-on experience for a user to a target garment of an image suitable for the virtual try-on experience. The source and target images for transferring color may be determined utilizing an amount of overlap of 3D segmentation masks for a candidate garment depicted in a candidate source image against the target garment depicted in a target image to identify that the candidate garment is suited for color transfer based on the comparison. Color or texture may then be transferred to the target garment based on image data of the identified candidate garment.

Systems and methods for augmenting images can utilize one or more image augmentation models and one or more texture transfer blocks. The image augmentation model can process input images and one or more segmentation masks to generate first output data. The first output data and the one or more segmentation masks can be processed with the texture transfer block to generate an augmented image. The input image can depict a scene with one or more occlusions, and the augmented image can depict the scene with the one or more occlusions replaced with predicted pixel data.

A manufacturing process for seamless grafting of multiple textures on a mobile phone back cover is made through the following steps: Step 1, prepare raw materials; Step 2, transfer printing; Step 3, first texture transfer printing; Step 4, second texture transfer printing; Step 5, perform a release surface treatment on the side with the texture area of the double-texture carrier board in Step 4 to obtain a replication master for double-texture effect replication. The manufacturing process for seamless grafting of multiple textures on a mobile phone back cover of the present invention realizes the grafting of two different textures through the method of exposure and development. The appearance effect is the same as that of photolithography, the transition area is very flat, the splicing of the entire texture is not affected by the position and shape, and it is flexibly applied, ensuring the surface flatness of the mobile phone back cover in the later stage. Multiple textures can be seamlessly grafted together. The entire grafting cost is low and the cycle is short, which greatly facilitates the selection of models for early development.