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Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering

Autor: Gan, Qijun, Li, Wentong, Ren, Jinwei, Zhu, Jianke

Reconstructing high-fidelity hand models with intricate textures plays a crucial role in enhancing human-object interaction and advancing real-world applications. Despite the state-of-the-art methods excelling in texture generation and image renderin

Externí odkaz: http://arxiv.org/abs/2407.05680

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Pyramid Deep Fusion Network for Two-Hand Reconstruction from RGB-D Images

Autor: Ren, Jinwei, Zhu, Jianke

Publikováno v: IEEE Transactions on Circuits and Systems for Video Technology, 2024

Accurately recovering the dense 3D mesh of both hands from monocular images poses considerable challenges due to occlusions and projection ambiguity. Most of the existing methods extract features from color images to estimate the root-aligned hand me

Externí odkaz: http://arxiv.org/abs/2307.06038

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End-to-end Weakly-supervised Single-stage Multiple 3D Hand Mesh Reconstruction from a Single RGB Image

Autor: Ren, Jinwei, Zhu, Jianke, Zhang, Jialiang

In this paper, we consider the challenging task of simultaneously locating and recovering multiple hands from a single 2D image. Previous studies either focus on single hand reconstruction or solve this problem in a multi-stage way. Moreover, the con

Externí odkaz: http://arxiv.org/abs/2204.08154

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