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20232026
most citedMARS: Mesh AutoRegressive Model for 3D Shape Detailization

1 citations · 2 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

POLAR: A Portrait OLAT Dataset and Generative Framework for Illumination-Aware Face Modeling

Zhuo Chen, Chengqun Yang, Zhuo Su +5

Face relighting aims to synthesize realistic portraits under novel illumination while preserving identity and geometry. However, progress remains constrained by the limited availab…

cs.CV2025

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…

cs.CV2025★ 1 cited

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…

cs.CV2025

Unsupervised 3D Braided Hair Reconstruction from a Single-View Image

Jing Gao

Reconstructing 3D braided hairstyles from single-view images remains a challenging task due to the intricate interwoven structure and complex topologies of braids. Existing strand-…

cs.CV2025

DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery

Jing Gao, Ce Zheng, Laszlo A. Jeni +1

In-bed human mesh recovery can be crucial and enabling for several healthcare applications, including sleep pattern monitoring, rehabilitation support, and pressure ulcer preventio…

cs.CV2025★ 1 cited

MARS: Mesh AutoRegressive Model for 3D Shape Detailization

Jingnan Gao, Weizhe Liu, Weixuan Sun +8

State-of-the-art methods for mesh detailization predominantly utilize Generative Adversarial Networks (GANs) to generate detailed meshes from coarse ones. These methods typically l…