Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
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Cited by 28 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Implicit neural representation has paved the way for new approaches to dynamic scene reconstruction and rendering. Nonetheless, cutting-edge dynamic neural rendering methods rely heavily on these implicit representations, which frequently struggle to capture the intricate details of objects in the scene. Furthermore, implicit methods have difficulty achieving real-time rendering in general dynamic scenes, limiting their use in a variety of tasks. To address the issues, we propose a deformable 3D Gaussians Splatting method that reconstructs scenes using 3D Gaussians and learns them in canonical space with a deformation field to model monocular dynamic scenes. We also introduce an annealing smoothing training mechanism with no extra overhead, which can mitigate the impact of inaccurate poses on the smoothness of time interpolation tasks in real-world datasets. Through a differential Gaussian rasterizer, the deformable 3D Gaussians not only achieve higher rendering quality but also real-time rendering speed. Experiments show that our method outperforms existing methods significantly in terms of both rendering quality and speed, making it well-suited for tasks such as novel-view synthesis, time interpolation, and real-time rendering.
Key facts. Cited by 759 papers in the map (data through 14 Oct 2026). Builds on 47 of its 62 references that are in the map. First posted on arXiv 22 Sep 2023.
Builds on
47 of 62 references.
References · 47
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- 2020Neural Sparse Voxel Fieldscited by 959
- 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 905
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- 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 511
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- 2023Neuralangelo: High-Fidelity Neural Surface Reconstructioncited by 467
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- 2020Space-time Neural Irradiance Fields for Free-Viewpoint Videocited by 414
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- 2021Efficient Neural Radiance Fields for Interactive Free-viewpoint Videocited by 150
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- 2022Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstructioncited by 94
- 2021T"oRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesiscited by 88
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- 2022Differentiable Point-Based Radiance Fields for Efficient View Synthesiscited by 86
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- 2023Representing Volumetric Videos as Dynamic MLP Mapscited by 51
- 2022Approximate Differentiable Rendering with Algebraic Surfacescited by 44
- 2023Flexible Techniques for Differentiable Rendering with 3D Gaussianscited by 28
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Citing papers per year: 2023: 48; 2024: 199; 2025: 276; 2026: 236.
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