Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
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Cited by 41 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Human volumetric capture is a long-standing topic in computer vision and computer graphics. Although high-quality results can be achieved using sophisticated off-line systems, real-time human volumetric capture of complex scenarios, especially using light-weight setups, remains challenging. In this paper, we propose a human volumetric capture method that combines temporal volumetric fusion and deep implicit functions. To achieve high-quality and temporal-continuous reconstruction, we propose dynamic sliding fusion to fuse neighboring depth observations together with topology consistency. Moreover, for detailed and complete surface generation, we propose detail-preserving deep implicit functions for RGBD input which can not only preserve the geometric details on the depth inputs but also generate more plausible texturing results. Results and experiments show that our method outperforms existing methods in terms of view sparsity, generalization capacity, reconstruction quality, and run-time efficiency.
Key facts. Cited by 246 papers in the map (data through 14 Oct 2026). Builds on 26 of its 63 references that are in the map. First posted on arXiv 5 May 2021.
Builds on
26 of 63 references.
References · 26
- 2017Attention Is All You Needcited by 60,361
- 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,689
- 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,041
- 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
- 2019PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitizationcited by 818
- 2020Convolutional Occupancy Networkscited by 761
- 2020PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitizationcited by 521
- 2020Implicit Functions in Feature Space for 3D Shape Reconstruction and Completioncited by 343
- 2020Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstructioncited by 321
- 2020PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstructioncited by 231
- 2019DeepHuman: 3D Human Reconstruction from a Single Imagecited by 182
- 2019Tex2Shape: Detailed Full Human Body Geometry From a Single Imagecited by 166
14 more
- 2020DeepCap: Monocular Human Performance Capture Using Weak Supervisioncited by 162
- 2020Combining Implicit Function Learning and Parametric Models for 3D Human Reconstructioncited by 133
- 2018DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensorcited by 95
- 2018LiveCap: Real-time Human Performance Capture from Monocular Videocited by 93
- 2019DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Datacited by 77
- 2020Monocular Real-Time Volumetric Performance Capturecited by 74
- 2019Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformationcited by 71
- 2018SiCloPe: Silhouette-Based Clothed Peoplecited by 68
- 2019Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Imagescited by 67
- 2017MonoPerfCap: Human Performance Capture from Monocular Videocited by 63
- 2020Robust 3D Self-portraits in Secondscited by 30
- 2020NormalGAN: Learning Detailed 3D Human from a Single RGB-D Imagecited by 24
- 2016Temporally coherent 4D reconstruction of complex dynamic scenescited by 21
- 2018ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Cameracited by 8
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Citing papers per year: 2021: 5; 2022: 27; 2023: 45; 2024: 71; 2025: 64; 2026: 34.
246 papers.
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50 most cited of 246 All 246 (JSON)
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- 2024A Survey on 3D Gaussian Splattingcited by 224
- 2022Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Renderingcited by 217
- 2024Taming 3DGS: High-Quality Radiance Fields with Limited Resourcescited by 204
- 2022ECON: Explicit Clothed humans Optimized via Normal integrationcited by 199
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- 2022HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modelingcited by 117
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