4 papers
From One to More: Contextual Part Latents for 3D Generation
Shaocong Dong, Lihe Ding, Xiao Chen +10
Recent advances in 3D generation have transitioned from multi-view 2D rendering approaches to 3D-native latent diffusion frameworks that exploit geometric priors in ground truth da…
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting
Qi Wang, Ruijie Lu, Xudong Xu +5
The advancement of diffusion models has pushed the boundary of text-to-3D object generation. While it is straightforward to composite objects into a scene with reasonable geometry,…
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
Chenhui Wang, Tao Chen, Zhihao Chen +4
Despite their impressive generative performance, latent diffusion model-based virtual try-on (VTON) methods lack faithfulness to crucial details of the clothes, such as style, patt…
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement
Chi Wang, Junming Huang, Rong Zhang +5
Automatic 3D facial texture generation has gained significant interest recently. Existing approaches may not support the traditional physically based rendering pipeline or rely on…