12 papers · 1 filter
Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting
Kangjie Chen, Yingji Zhong, Zhihao Li +4
3D Gaussian Splatting (3DGS) has demonstrated impressive performance in novel view synthesis under dense-view settings. However, in sparse-view scenarios, despite the realistic ren…
NOVA3D: Normal Aligned Video Diffusion Model for Single Image to 3D Generation
Yuxiao Yang, Peihao Li, Yuhong Zhang +5
3D AI-generated content (AIGC) has made it increasingly accessible for anyone to become a 3D content creator. While recent methods leverage Score Distillation Sampling to distill 3…
The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images with Minimal 3D Knowledge
Haoru Wang, Kai Ye, Minghan Qin +3
Recent advances in feed-forward Novel View Synthesis (NVS) have led to a divergence between two design philosophies: bias-driven methods, which rely on explicit 3D knowledge, such…
GUAVA: Generalizable Upper Body 3D Gaussian Avatar
Dongbin Zhang, Yunfei Liu, Lijian Lin +5
Reconstructing a high-quality, animatable 3D human avatar with expressive facial and hand motions from a single image has gained significant attention due to its broad application…
HRAvatar: High-Quality and Relightable Gaussian Head Avatar
Dongbin Zhang, Yunfei Liu, Lijian Lin +5
Reconstructing animatable and high-quality 3D head avatars from monocular videos, especially with realistic relighting, is a valuable task. However, the limited information from si…
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
Wanhua Li, Renping Zhou, Jiawei Zhou +5
Learning 4D language fields to enable time-sensitive, open-ended language queries in dynamic scenes is essential for many real-world applications. While LangSplat successfully grou…