PHRIT: Parametric Hand Representation with Implicit Template
Zhisheng Huang, Yujin Chen, Di Kang, Jinlu Zhang, Zhigang Tu
Abstract
We propose PHRIT, a novel approach for parametric hand mesh modeling with an implicit template that combines the advantages of both parametric meshes and implicit representations. Our method represents deformable hand shapes using signed distance fields (SDFs) with part-based shape priors, utilizing a deformation field to execute the deformation. The model offers efficient high-fidelity hand reconstruction by deforming the canonical template at infinite resolution. Additionally, it is fully differentiable and can be easily used in hand modeling since it can be driven by the skeleton and shape latent codes. We evaluate PHRIT on multiple downstream tasks, including skeleton-driven hand reconstruction, shapes from point clouds, and singleview 3D reconstruction, demonstrating that our approach achieves realistic and immersive hand modeling with state- of-the-art performance.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext a127260f-3eba-42b2-9303-3b3494b4a836Cited by top-tier papers1
Ask how each one uses itBuilds on31
- Implicit Neural Representations with Periodic Activation FunctionsVincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell et al.NeurIPS 2020 · 4,008 citations
- Volume Rendering of Neural Implicit SurfacesLior Yariv, Jiatao Gu, Yoni Kasten, Yaron LipmanNeurIPS 2021 · 1,421 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
- Implicit Geometric Regularization for Learning ShapesAmos Gropp, Lior Yariv, Niv Haim, Matan Atzmon et al.ICML 2020 · 1,001 citations
- FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB ImagesChristian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell et al.ICCV 2019 · 493 citations
Related papers
- HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance FieldsHaozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander MathisCVPR 2024 · 18 citations
- imGHUM: Implicit Generative Models of 3D Human Shape and Articulated PoseThiemo Alldieck, Hongyi Xu, Cristian SminchisescuICCV 2021 · 135 citations
- Single-Shot Implicit Morphable Faces with Consistent Texture ParameterizationConnor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan et al.SIGGRAPH 2023 · 14 citations
- gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object ReconstructionZerui Chen, Shizhe Chen, Cordelia Schmid, Ivan LaptevCVPR 2023
- Differentiable signed distance function renderingDelio Vicini, Sébastien Speierer, Wenzel JakobSIGGRAPH 2022 · 112 citations
