BiTT: Bi-Directional Texture Reconstruction of Interacting Two Hands from a Single Image
Minje Kim, Tae-Kyun Kim
2024Year
2Top-tier citations
Abstract
Input: Single Image of Interacting Two Hands Two hands reconstruction via ① Symmetric information of left and right hand, ② Hand texture parametric model Figure 1. Taking a single image input, our method renders the personalized texture of two hands at novel views, poses, and light conditions.
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Cited by top-tier papers2
- MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based DynamicsChangmin Lee, Jihyun Lee, Tae-Kyun KimNeurIPS 2025 · 9 citations
- SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit MeshesMinje Kim, Tae-Kyun KimNeurIPS 2025 · 2 citations
Builds on29
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- Nerfies: Deformable Neural Radiance FieldsKeunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz et al.ICCV 2021 · 1,442 citations
- PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human DigitizationShunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima et al.ICCV 2019 · 1,411 citations
- Texture Fields: Learning Texture Representations in Function SpaceMichael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss et al.ICCV 2019 · 334 citations
- ICON: Implicit Clothed humans Obtained from NormalsYuliang Xiu, Jinlong Yang, Dimitrios Tzionas, Michael J. BlackCVPR 2022 · 286 citations
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