4 papers
Know3D: Prompting 3D Generation with Knowledge from Vision-Language Models
Wenyue Chen, Wenjue Chen, Peng Li +6
Recent advances in 3D generation have improved the fidelity and geometric details of synthesized 3D assets. However, due to the inherent ambiguity of single-view observations and t…
EI-Part: Explode for Completion and Implode for Refinement
Wanhu Sun, Zhongjin Luo, Heliang Zheng +6
Part-level 3D generation is crucial for various downstream applications, including gaming, film production, and industrial design. However, decomposing a 3D shape into geometricall…
Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling
Zhihao Li, Yufei Wang, Heliang Zheng +2
High-fidelity 3D object synthesis remains significantly more challenging than 2D image generation due to the unstructured nature of mesh data and the cubic complexity of dense volu…
Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-Encoders
Jingyu Guo, Sensen Gao, Jia-Wang Bian +4
Recent 3D content generation pipelines often leverage Variational Autoencoders (VAEs) to encode shapes into compact latent representations, facilitating diffusion-based generation.…