3 papers
cs.CV2026
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…
cs.CV2025
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…
cs.CV2025
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…