The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
Open accessAbstract
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 detailpreserving 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.
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
Jakubův, J., Chvalovský, K., Goertzel, Z., Kaliszyk, C., Olšák, M., Piotrowski, B., Schulz, S., Suda, M., & Urban, J. (2023) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/lipics.itp.2023.19 · Cited by 76,658
Marching cubes: A high resolution 3D surface construction algorithm
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Marching cubes: A high resolution 3D surface construction algorithm
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Deep High-Resolution Representation Learning for Human Pose Estimation
Sun, K., Xiao, B., Liu, D., & Wang, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00584 · Cited by 5,984
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
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Occupancy Networks: Learning 3D Reconstruction in Function Space
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KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
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PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
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Cited by
Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos
Jafarian, Y., & Park, H. S. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3231558 · Cited by 12
Metadata
- Authors
- Yu, T., Zheng, Z., Guo, K., Liu, P., Dai, Q., & Liu, Y.
- Venue
- 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2021-06
- Pages
- 5742-5752
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W3174025609
- Cited by
- 355
- References
- 62
- FWCI
- 43.92
- Type
- conference paper
- Language
- en
- Open access
- green
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- Yu, T., Zheng, Z., Guo, K., Liu, P., Dai, Q., & Liu, Y. (2021). Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr46437.2021.00569
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