40 citations · 44 across the 11 of their papers we have counts for
13 papers · 1 filter
TaoFlowForge: Progressive Native Mesh Generation via Cascaded Flow Matching
Xianze Fang, Qiyuan Feng, Dongfang Sun +6
3D content generation technology has significantly advanced the work of designers, as well as the 3D printing and gaming industries. However, it remains difficult to produce lightw…
TaoTex: Boosting Texture Detail Fidelity for Native 3D Material Generation
Xiuchao Wu, Shuichang Lai, Jiangjing Lyu +1
Recent 3D generation models can produce accurate geometries while still struggling to reconstruct detailed textures. We propose a diffusion-based native 3D material generation mode…
FILIGREE3D: Scaling Sparse Latent Flow Matching for Ultra-High-Resolution Image-to-3D Generation
Hongjie Li, Xinran Yang, Xiuchao Wu +2
Scaling image-to-3D generation to ultra-high resolutions requires controlling rapidly growing computational costs without sacrificing fine geometric detail. We present \textbf{Fili…
VIAFormer: Voxel-Image Alignment Transformer for High-Fidelity Voxel Refinement
Tiancheng Fang, Bowen Pan, Lingxi Chen +4
We propose VIAFormer, a Voxel-Image Alignment Transformer model designed for Multi-view Conditioned Voxel Refinement--the task of repairing incomplete noisy voxels using calibrated…
LoG3D: Ultra-High-Resolution 3D Shape Modeling via Local-to-Global Partitioning
Xinran Yang, Shuichang Lai, Jiangjing Lyu +6
Generating high-fidelity 3D contents remains a fundamental challenge due to the complexity of representing arbitrary topologies-such as open surfaces and intricate internal structu…
MoRE: 3D Visual Geometry Reconstruction Meets Mixture-of-Experts
Jingnan Gao, Zhe Wang, Xianze Fang +7
Recent advances in language and vision have demonstrated that scaling up model capacity consistently improves performance across diverse tasks. In 3D visual geometry reconstruction…
StableIntrinsic: Detail-preserving One-step Diffusion Model for Multi-view Material Estimation
Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu +5
Recovering material information from images has been extensively studied in computer graphics and vision. Recent works in material estimation leverage diffusion model showing promi…
Dens3R: A Foundation Model for 3D Geometry Prediction
Xianze Fang, Jingnan Gao, Zhe Wang +8
Recent advances in dense 3D reconstruction have led to significant progress, yet achieving accurate unified geometric prediction remains a major challenge. Most existing methods ar…
GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting
Shuichang Lai, Letian Huang, Jie Guo +6
Reconstructing objects from posed images is a crucial and complex task in computer graphics and computer vision. While NeRF-based neural reconstruction methods have exhibited impre…
EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction
Jingnan Gao, Zhuo Chen, Yichao Yan +4
Reconstructing real-world 3D objects has numerous applications in computer vision, such as virtual reality, video games, and animations. Ideally, 3D reconstruction methods should g…
Towards 3D Face Reconstruction in Perspective Projection: Estimating 6DoF Face Pose from Monocular Image
Yueying Kao, Bowen Pan, Miao Xu +5
In 3D face reconstruction, orthogonal projection has been widely employed to substitute perspective projection to simplify the fitting process. This approximation performs well whe…
MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames
Xiangyu Zhu, Tingting Liao, Jiangjing Lyu +6
In this paper, we consider a novel problem of reconstructing a 3D human avatar from multiple unconstrained frames, independent of assumptions on camera calibration, capture space,…
Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction
Jiangjing Lyu, Xiaobo Li, Xiangyu Zhu +1
3D face reconstruction is a fundamental task that can facilitate numerous applications such as robust facial analysis and augmented reality. It is also a challenging task due to th…