Long Volumetric Video Representation
A novel method for reconstructing long volumetric videos using Temporal Gaussian Hierarchy.
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About
This tool addresses the challenge of reconstructing long volumetric videos from multi-view RGB videos. It introduces a novel 4D representation called Temporal Gaussian Hierarchy, which efficiently models long videos while maintaining high-quality rendering. The method is particularly useful for researchers and developers in the fields of computer graphics and video processing, allowing them to handle minutes of volumetric video data with minimal training and memory usage. The approach leverages temporal redundancy in dynamic scenes, making it a significant advancement over previous methods that were limited to short clips. Extensive experimental results show its superiority in training cost, rendering speed, and storage efficiency.
Features
- 1 - Real-time rendering of long volumetric videos
- 2 - Compact volumetric video generation
- 3 - Hierarchical structure for temporal segments
- 4 - Efficient storage with 4D Gaussians
- 5 - High-quality rendering with minimal training
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