3D Gaussian Scene Modeling for Realistic Video Content Insertion
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Solution Overview
Problem
Existing technologies struggle to seamlessly integrate user-generated content into video in a realistic manner, making it appear as part of the original video, especially in game or real-time streaming scenarios.
Innovation Solution
A system converts video scenes to 3D representations using volumetric models, such as Gaussians, aligns user-input content with these models, sets the opacity of original video objects to zero, and overlays the user-input content to create a realistic integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user-input content is overlaid directly onto video, then the content is visible, but it does not appear realistic or integrated into the original video
Solution Approach 1:
The patent converts 2D video frames into a 3D representation of space using volumetric models (Gaussians). This dimensional transformation allows user-input content to be positioned and rendered in 3D space, creating realistic occlusion relationships where content can appear behind, in front of, or within volumetric objects, thereby achieving photorealistic integration without requiring complex manual compositing
Solution Approach 2:
The patent introduces volumetric representations (Gaussians) as an intermediary between the original video and user-input content. These volumetric models serve as a mediator that captures the spatial structure and occlusion relationships of the video scene, allowing user content to be realistically integrated by rendering it in relation to the volumetric objects rather than directly overlaying on 2D video frames
2Loss of information
If opacity of volumetric representations is set to zero to make them transparent, then user-input content becomes visible, but occlusion information is lost
Solution Approach 1:
The patent performs preliminary rendering of user-input content in 3D space before final composition with the video. During this preliminary action, the system determines which portions of user content should be occluded by volumetric objects based on their spatial relationships. This pre-computation of occlusion allows the system to selectively render only visible portions of user content, preserving occlusion information while ensuring proper visibility
Solution Approach 2:
The patent applies different opacity values to different portions of user-input content based on their spatial relationship with volumetric objects. Rather than making the entire user content uniformly transparent or opaque, the system locally adjusts opacity so that portions behind volumetric objects are occluded while portions in front remain visible, thereby preserving local occlusion information while maintaining overall visibility
3Reliability
If volumetric representations are used to model 3D space from video, then realistic occlusion can be achieved, but computational complexity increases
Solution Approach 1:
The patent uses Gaussian volumetric representations that can be efficiently created, manipulated, and discarded. Each frame's volumetric model is generated on-demand from video frames and used for that specific rendering task, then discarded. This approach avoids the need for persistent, complex 3D scene graphs while achieving accurate occlusion modeling for each frame independently, reducing overall computational complexity
Solution Approach 2:
The patent represents volumetric objects using Gaussian parameters (mean, covariance, opacity) rather than full 3D mesh geometries. This parameterization allows efficient storage and manipulation of volumetric representations. The system can adjust opacity parameters of Gaussians to control visibility and occlusion relationships without requiring complex geometric computations, thereby reducing computational complexity while maintaining accurate occlusion modeling
Data Source
AI summary
A technique for generating, from a video, a three dimensional (3D) representation of space in which Gaussians represent objects in the video. User-input content such as a hand-drawn game path is inserted into the 3D representation of space and aligned and scaled. The opacity of the Gaussians in the 3D representation of space is then set to zero such that Gaussians representing objects in the video are transparent and only one or more portions of the user-input content are not transparent. The 3D representation of space is then combined with the video so that the user-input content is presented with the video.