8 papers
JewelTry: Mask-Free Scale Aware Jewelry Virtual Try-On
Xinlei Niu, Peixia Li, Jun Wang +5
Virtual try-on (VTON) enables customers to visualize how fashion products appear when worn and has become an important technology for online shopping. While recent advances have su…
FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation
Haorui Ji, Weizhe Liu, Hongdong Li +1
Sparse voxel representation has emerged as a scalable foundation for image-to-3D Gaussian Splatting (3DGS) generation, yet current methods struggle to preserve high-frequency visua…
Artic-O: End-to-End Articulated Object Reconstruction via Latent Geometry Learning
Xuyang Wang, Zhenyu Li, Jian Ding +4
Reconstructing articulated objects from sparse images requires recovering complete geometry, movable parts, and motion parameters. Recent methods typically separate geometry recons…
Joint Shadow Generation and Relighting via Light-Geometry Interaction Maps
Shan Wang, Peixia Li, Chenchen Xu +4
We propose Light-Geometry Interaction (LGI) maps, a novel representation that encodes light-aware occlusion from monocular depth. Unlike ray tracing, which requires full 3D reconst…
DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Texture Generation on 3D Meshes
Xuyang Wang, Ziang Cheng, Zhenyu Li +6
This paper addresses the problem of generating textures for 3D mesh assets. Existing approaches often rely on image diffusion models to generate multi-view image observations, whic…
JADE: Joint-aware Latent Diffusion for 3D Human Generative Modeling
Haorui Ji, Rong Wang, Taojun Lin +1
Generative modeling of 3D human bodies have been studied extensively in computer vision. The core is to design a compact latent representation that is both expressive and semantica…
DPBridge: Latent Diffusion Bridge for Dense Prediction
Haorui Ji, Taojun Lin, Hongdong Li
Diffusion models demonstrate remarkable capabilities in capturing complex data distributions and have achieved compelling results in many generative tasks. While they have recently…
PADS: Plug-and-Play 3D Human Pose Analysis via Diffusion Generative Modeling
Haorui Ji, Hongdong Li
Diffusion models have demonstrated impressive capabilities in modeling complex data distributions and are increasingly applied in various generative tasks. In this work, we propose…