5 papers
DiGS-Avatar: Single-Image Animatable 3D Human Reconstruction via UV-Space Diffusion
Jiakun Li, Li Fang, Hao Zhu +4
Single-image 3D human reconstruction often suffers from over-smoothed textures and geometric inconsistencies. While diffusion models improve generative quality, their reliance on m…
ReX-Shot: Single-Image Rephotography via Geometry- and Camera-Grounded Generation
Ruiqi Zhang, Hao Zhu, Wenhao Zhang +5
Single-image rephotography aims to synthesize new shots of a scene from a single reference image with specified viewpoints, focal lengths, and photographic effects, which are intri…
GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
You Wang, Li Fang, Hao Zhu +3
Neural Radiance Fields (NeRF) have transformed novel view synthesis by modeling scene-specific volumetric representations directly from images. While generalizable NeRF models can…
Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
Li Fang, Hao Zhu, Longlong Chen +3
Recent advancements in generalizable novel view synthesis have achieved impressive quality through interpolation between nearby views. However, rendering high-resolution images rem…
Mitigating Ambiguities in 3D Classification with Gaussian Splatting
Ruiqi Zhang, Hao Zhu, Jingyi Zhao +3
3D classification with point cloud input is a fundamental problem in 3D vision. However, due to the discrete nature and the insufficient material description of point cloud represe…