collaborators

6 papers

cs.CV2024

ProGraph: Temporally-alignable Probability Guided Graph Topological Modeling for 3D Human Reconstruction

Hongsheng Wang, Zehui Feng, Tong Xiao +4

Current 3D human motion reconstruction methods from monocular videos rely on features within the current reconstruction window, leading to distortion and deformations in the human…

cs.CV2024

MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video

Hongsheng Wang, Xiang Cai, Xi Sun +5

Single-view clothed human reconstruction holds a central position in virtual reality applications, especially in contexts involving intricate human motions. It presents notable cha…

cs.CV2024

Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery

Hongsheng Wang, Weiyue Zhang, Sihao Liu +6

Although 3D Gaussian Splatting (3DGS) has recently made progress in 3D human reconstruction, it primarily relies on 2D pixel-level supervision, overlooking the geometric complexity…

cs.CV2024

NieR: Normal-Based Lighting Scene Rendering

Hongsheng Wang, Yang Wang, Yalan Liu +4

In real-world road scenes, diverse material properties lead to complex light reflection phenomena, making accurate color reproduction crucial for enhancing the realism and safety o…

cs.CV2024

RemoCap: Disentangled Representation Learning for Motion Capture

Hongsheng Wang, Lizao Zhang, Zhangnan Zhong +6

Reconstructing 3D human bodies from realistic motion sequences remains a challenge due to pervasive and complex occlusions. Current methods struggle to capture the dynamics of occl…

cs.CV2024

NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction

Hongsheng Wang, Nanjie Yao, Xinrui Zhou +4

In the animation industry, 3D modelers typically rely on front and back non-overlapped concept designs to guide the 3D modeling of anime characters. However, there is currently a l…