The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
Open accessAbstract
We introduce Pixel-aligned Implicit Function (PIFu), an implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object. Using PIFu, we propose an end-to-end deep learning method for digitizing highly detailed clothed humans that can infer both 3D surface and texture from a single image, and optionally, multiple input images. Highly intricate shapes, such as hairstyles, clothing, as well as their variations and deformations can be digitized in a unified way. Compared to existing representations used for 3D deep learning, PIFu produces high-resolution surfaces including largely unseen regions such as the back of a person. In particular, it is memory efficient unlike the voxel representation, can handle arbitrary topology, and the resulting surface is spatially aligned with the input image. Furthermore, while previous techniques are designed to process either a single image or multiple views, PIFu extends naturally to arbitrary number of views. We demonstrate high-resolution and robust reconstructions on real world images from the DeepFashion dataset, which contains a variety of challenging clothing types. Our method achieves state-of-the-art performance on a public benchmark and outperforms the prior work for clothed human digitization from a single image.
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Context Encoders: Feature Learning by Inpainting
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PlenOctrees for Real-time Rendering of Neural Radiance Fields
Yu, A., Li, R., Tancik, M., Li, H., Ng, R., & Kanazawa, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00570 · Cited by 854
Self-citationEnd-to-End Human Pose and Mesh Reconstruction with Transformers
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Niemeyer, M., Barron, J. T., Mildenhall, B., Sajjadi, M. S. M., Geiger, A., & Radwan, N. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.00540 · Cited by 609
Metadata
- Authors
- Saito, S., Huang, Z., Natsume, R., Morishima, S., Li, H., & Kanazawa, A.
- Venue
- 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
- Publisher
- IEEE
- Published
- 2019-10
- Pages
- 2304-2314
- OpenAlex
- W2981978060
- Cited by
- 1,228
- References
- 7
- FWCI
- 165.18
- Type
- conference paper
- Language
- en
- Open access
- green
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- Saito, S., Huang, Z., Natsume, R., Morishima, S., Li, H., & Kanazawa, A. (2019). PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. 2019 IEEE/CVF International Conference on Computer Vision (ICCV). https://doi.org/10.1109/iccv.2019.00239
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