mlsanityData to 7 Oct 2026

Reconstructing NBA Players

arXiv 2007.13303 ↗First posted 27 Jul 2020cs.CVcited by 24

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Abstract (arXiv)

Great progress has been made in 3D body pose and shape estimation from a single photo. Yet, state-of-the-art results still suffer from errors due to challenging body poses, modeling clothing, and self occlusions. The domain of basketball games is particularly challenging, as it exhibits all of these challenges. In this paper, we introduce a new approach for reconstruction of basketball players that outperforms the state-of-the-art. Key to our approach is a new method for creating poseable, skinned models of NBA players, and a large database of meshes (derived from the NBA2K19 video game), that we are releasing to the research community. Based on these models, we introduce a new method that takes as input a single photo of a clothed player in any basketball pose and outputs a high resolution mesh and 3D pose for that player. We demonstrate substantial improvement over state-of-the-art, single-image methods for body shape reconstruction.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 8; 2023: 3; 2024: 4; 2025: 1; 2026: 1.

24 papers.

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  1. 2023TADA! Text to Animatable Digital Avatarscited by 109
  2. 2023GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learningcited by 63
  3. 2021S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modelingcited by 59
  4. 2021SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videoscited by 40
  5. 2022Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projectioncited by 39
  6. 2021SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Datacited by 38
  7. 20213D Human Texture Estimation from a Single Image with Transformerscited by 35
  8. 2022The One Where They Reconstructed 3D Humans and Environments in TV Showscited by 30
  9. 2021AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wildcited by 29
  10. 2021Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognitioncited by 29
  11. 2022Synthetic Data in Human Analysis: A Surveycited by 28
  12. 2024Joker: Conditional 3D Head Synthesis with Extreme Facial Expressionscited by 17
12 more
  1. 2022Sports Video Analysis on Large-Scale Datacited by 13
  2. 2022Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recoverycited by 12
  3. 2021FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstructioncited by 11
  4. 2023A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decisioncited by 11
  5. 2022VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Datacited by 10
  6. 2024X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generationcited by 5
  7. 2022Permutation-Invariant Relational Network for Multi-person 3D Pose Estimationcited by 3
  8. 2022Multi-view Human Body Mesh Translatorcited by 3
  9. 2024TIFu: Tri-directional Implicit Function for High-Fidelity 3D Character Reconstructioncited by 1
  10. 2024ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimationcited by 1
  11. 2025Multi-person Physics-based Pose Estimation for Combat Sportscited by 1
  12. 20262D Pre-Training for 3D Pose Estimationcited by 0