Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Visual Understanding Lab @ Samsung AI Center Moscow
Popular repositories
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[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
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Reviving Iterative Training with Mask Guidance for Interactive Segmentation
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image_harmonization Public
[WACV2021] Foreground-aware Semantic Representations for Image Harmonization https://arxiv.org/abs/2006.00809
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imvoxelnet Public
[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
Repositories
- fbrs_interactive_segmentation Public
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
- point_based_clothing Public
Official PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)
- imvoxelnet Public
[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
- ritm_interactive_segmentation Public
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
- cloud_transformers Public
[ICCV, 2021] Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks https://arxiv.org/abs/2007.11679
- coordinate_based_inpainting Public
[CVPR2019] Coordinate-based texture inpainting for pose-guided human image generation https://arxiv.org/abs/1811.11459
- neural-textures Public
Inference code for "StylePeople: A Generative Model of Fullbody Human Avatars" paper. This code is for the part of the paper describing video-based avatars.
- style-people Public
Inference code for "StylePeople: A Generative Model of Fullbody Human Avatars" paper
