mlsanityData to 7 Oct 2026

I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image

arXiv 2008.03713 ↗First posted 9 Aug 2020cs.CVcited by 274

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Abstract (arXiv)

Most of the previous image-based 3D human pose and mesh estimation methods estimate parameters of the human mesh model from an input image. However, directly regressing the parameters from the input image is a highly non-linear mapping because it breaks the spatial relationship between pixels in the input image. In addition, it cannot model the prediction uncertainty, which can make training harder. To resolve the above issues, we propose I2L-MeshNet, an image-to-lixel (line+pixel) prediction network. The proposed I2L-MeshNet predicts the per-lixel likelihood on 1D heatmaps for each mesh vertex coordinate instead of directly regressing the parameters. Our lixel-based 1D heatmap preserves the spatial relationship in the input image and models the prediction uncertainty. We demonstrate the benefit of the image-to-lixel prediction and show that the proposed I2L-MeshNet outperforms previous methods. The code is publicly available https://github.com/mks0601/I2L-MeshNet_RELEASE.

Key facts. Cited by 274 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Aug 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 51; 2022: 53; 2023: 76; 2024: 51; 2025: 24; 2026: 19.

274 papers.

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  1. 2023Humans in 4D: Reconstructing and Tracking Humans with Transformerscited by 344
  2. 2021PARE: Part Attention Regressor for 3D Human Body Estimationcited by 334
  3. 2023Reconstructing Hands in 3D with Transformerscited by 298
  4. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 271
  5. 2021Mesh Graphormercited by 264
  6. 2021PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loopcited by 250
  7. 2022CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimationcited by 237
  8. 2023WHAM: Reconstructing World-grounded Humans with Accurate 3D Motioncited by 200
  9. 2022MotionBERT: A Unified Perspective on Learning Human Motion Representationscited by 188
  10. 2022Capturing and Inferring Dense Full-Body Human-Scene Contactcited by 176
  11. 2021FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integrationcited by 168
  12. 2023FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterizationcited by 161
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  1. 2022PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Imagescited by 152
  2. 2021GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Camerascited by 151
  3. 2024Scaling Up Dynamic Human-Scene Interaction Modelingcited by 137
  4. 2021EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devicescited by 136
  5. 2021SPEC: Seeing People in the Wild with an Estimated Cameracited by 134
  6. 2022OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interactioncited by 129
  7. 2021Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimationcited by 122
  8. 2024WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wildcited by 117
  9. 2022HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modelingcited by 115
  10. 2021SimPoE: Simulated Character Control for 3D Human Pose Estimationcited by 111
  11. 2024TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videoscited by 105
  12. 2022Recovering 3D Human Mesh from Monocular Images: A Surveycited by 103
  13. 2021Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimationcited by 101
  14. 20233D Human Pose Estimation via Intuitive Physicscited by 100
  15. 2022Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformercited by 99
  16. 2022HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Networkcited by 95
  17. 2023PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimationcited by 91
  18. 2022Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformerscited by 81
  19. 2021MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Imagecited by 74
  20. 2025PromptHMR: Promptable Human Mesh Recoverycited by 70
  21. 2021Model-based 3D Hand Reconstruction via Self-Supervised Learningcited by 65
  22. 2021Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenescited by 64
  23. 2021Playing for 3D Human Recoverycited by 63
  24. 2022LISA: Learning Implicit Shape and Appearance of Handscited by 63
  25. 2021Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimationcited by 62
  26. 2021Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registrationcited by 59
  27. 2022Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Videocited by 59
  28. 2024Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimationcited by 57
  29. 2021I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modelingcited by 52
  30. 2022Occluded Human Mesh Recoverycited by 52
  31. 2021THUNDR: Transformer-based 3D HUmaN Reconstruction with Markerscited by 50
  32. 2021A Skeleton-Driven Neural Occupancy Representation for Articulated Handscited by 50
  33. 2021Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspectivecited by 49
  34. 2021Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wildcited by 48
  35. 2023HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recoverycited by 48
  36. 2021Reconstructing 3D Human Pose by Watching Humans in the Mirrorcited by 47
  37. 2023AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Posecited by 47
  38. 2023Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimationcited by 46

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