Chun Gu

I'm a first-year Ph.D. student at Fudan University under the supervision of Prof. Li Zhang.

I'm interested in Computer Vision and Graphics, especially in 3D reconstruction.

Email  /  Github

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Publications & Projects

clean-usnob Invited talk at Shenlanxueyuan on 3D generation with SDS
Chun Gu
video / slides

Providing a brief introduction to the progress in 3D generation using Score Distillation Sampling (SDS).

clean-usnob Tetrahedron Splatting for 3D Generation
Chun Gu, Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang
NeurIPS, 2024   (Spotlight)
arXiv / project page / code

Integrating surface-based volumetric rendering within a structured tetrahedral grid, utilizing tetrahedra for splatting.

clean-usnob Diffusion²: Dynamic 3D Content Generation via Score Composition of Orthogonal Diffusion Models
Zeyu Yang*, Zijie Pan*, Chun Gu, Li Zhang
arXiv, 2024
arXiv / code

In this paper, we propose to achieve 4D generation from directly sampling the dense multi-view multi-frame observation of dynamic content by composing the estimated score of pretrained video and multi-view diffusion models that have learned strong prior of dynamic and geometry.

Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
Yurui Chen*, Chun Gu*, Junzhe Jiang, Xiatian Zhu, Li Zhang
arXiv, 2023
arXiv / project page / code

A unified representation model for large-scale dynamic urban scene reconstruction.

Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing
Jian Gao*, Chun Gu*, Youtian Lin, Hao Zhu, Xun Cao, Li Zhang, Yao Yao
ECCV, 2024
arXiv / project page / code

A novel differentiable point-based rendering framework for material and lighting decomposition from multi-view images, enabling editing, ray-tracing, and real-time relighting of the 3D point cloud.

Loading stars... Unofficial implementation of "Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields"
Chun Gu
code

An unofficial pytorch implementation of "Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields" based on multinerf.

clean-usnob Single-view Neural Radiance Fields with Depth Teacher
Yurui Chen, Chun Gu, Feihu Zhang, Li Zhang,
ICLR workshop 2023
arXiv

Combining the (coarse) planar rendering and the (fine) volume rendering to achieve higher rendering quality and better generalizations. A depth teacher net that predicts dense pseudo depth maps is used to supervise the joint rendering mechanism and boost the learning of consistent 3D geometry.


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