Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding
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Abstract (arXiv)
Hands, one of the most dynamic parts of our body, suffer from blur due to their active movements. However, previous 3D hand mesh recovery methods have mainly focused on sharp hand images rather than considering blur due to the absence of datasets providing blurry hand images. We first present a novel dataset BlurHand, which contains blurry hand images with 3D groundtruths. The BlurHand is constructed by synthesizing motion blur from sequential sharp hand images, imitating realistic and natural motion blurs. In addition to the new dataset, we propose BlurHandNet, a baseline network for accurate 3D hand mesh recovery from a blurry hand image. Our BlurHandNet unfolds a blurry input image to a 3D hand mesh sequence to utilize temporal information in the blurry input image, while previous works output a static single hand mesh. We demonstrate the usefulness of BlurHand for the 3D hand mesh recovery from blurry images in our experiments. The proposed BlurHandNet produces much more robust results on blurry images while generalizing well to in-the-wild images. The training codes and BlurHand dataset are available at https://github.com/JaehaKim97/BlurHand_RELEASE.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 41 of its 51 references that are in the map. First posted on arXiv 27 Mar 2023.
Builds on
41 of 51 references.
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29 more
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Built on by
Citing papers per year: 2023: 2; 2024: 2; 2025: 3; 2026: 3.
10 papers.
- 2023Reconstructing Hands in 3D with Transformerscited by 298
- 2024WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wildcited by 117
- 2023A Dataset of Relighted 3D Interacting Handscited by 35
- 2025The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimationcited by 16
- 2024DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Imagecited by 9
- 2026EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learningcited by 2
- 2026AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimationcited by 1
- 2025Learning Transformation-Isomorphic Latent Space for Accurate Hand Pose Estimationcited by 0
- 2025Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimationcited by 0
- 2026UST-Hand: An Uncertainty-aware Spatiotemporal Point Cloud Interaction Network for 3D Self-supervised Hand Pose Estimationcited by 0
- 2026UST-Hand: An Uncertainty-aware Spatiotemporal Point Cloud Interaction Network for 3D Self-supervised Hand Pose Estimation18 May 2026
- 2026AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation26 Mar 2026
- 2026EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning27 Jan 2026
- 2025Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation1 Sep 2025
- 2025The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimation11 Apr 2025
- 2025Learning Transformation-Isomorphic Latent Space for Accurate Hand Pose Estimation18 Feb 2025
- 2024WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild18 Sep 2024
- 2024DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image26 Jun 2024
- 2023Reconstructing Hands in 3D with Transformers8 Dec 2023
- 2023A Dataset of Relighted 3D Interacting Hands26 Oct 2023