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awesome_3dgs_papers.yaml

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- Review
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thumbnail: assets/thumbnails/qiu2024advancing.jpg
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publication_date: '2024-12-09T07:14:58+00:00'
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- id: javed2024temporally
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title: Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes
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authors: Saqib Javed, Ahmad Jarrar Khan, Corentin Dumery, Chen Zhao, Mathieu Salzmann
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year: '2024'
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abstract: 'Recent advancements in high-fidelity dynamic scene reconstruction have
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leveraged dynamic 3D Gaussians and 4D Gaussian Splatting for realistic scene representation.
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However, to make these methods viable for real-time applications such as AR/VR,
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gaming, and rendering on low-power devices, substantial reductions in memory usage
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and improvements in rendering efficiency are required. While many state-of-the-art
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methods prioritize lightweight implementations, they struggle in handling scenes
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with complex motions or long sequences. In this work, we introduce Temporally
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Compressed 3D Gaussian Splatting (TC3DGS), a novel technique designed specifically
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to effectively compress dynamic 3D Gaussian representations. TC3DGS selectively
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prunes Gaussians based on their temporal relevance and employs gradient-aware
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mixed-precision quantization to dynamically compress Gaussian parameters. It additionally
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relies on a variation of the Ramer-Douglas-Peucker algorithm in a post-processing
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step to further reduce storage by interpolating Gaussian trajectories across frames.
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Our experiments across multiple datasets demonstrate that TC3DGS achieves up to
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67$\times$ compression with minimal or no degradation in visual quality.
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'
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project_page: https://ahmad-jarrar.github.io/tc-3dgs/
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paper: https://arxiv.org/pdf/2412.05700.pdf
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code: https://github.com/saqibjaved1/TC3DGS
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video: null
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tags:
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- Acceleration
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- Code
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- Compression
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- Dynamic
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- Object Detection
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- Optimization
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- Project
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- Rendering
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- Robotics
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- Video
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thumbnail: assets/thumbnails/javed2024temporally.jpg
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publication_date: '2024-12-07T17:03:09+00:00'
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date_source: arxiv
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- id: fan2024momentumgs
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title: 'Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large
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Scene Reconstruction'

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