Dmitry Ryumin

DmitryRyumin

AI & ML interests

Machine Learning and Applications, Multi-Modal Understanding

Organizations

Posts 60

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2072
๐Ÿš€๐Ÿ•บ๐ŸŒŸ New Research Alert - CVPR 2024 (Avatars Collection)! ๐ŸŒŸ๐Ÿ’ƒ๐Ÿš€
๐Ÿ“„ Title: IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing ๐Ÿ”

๐Ÿ“ Description: IntrinsicAvatar is a method for extracting high-quality geometry, albedo, material, and lighting properties of clothed human avatars from monocular videos using explicit ray tracing and volumetric scattering, enabling realistic animations under varying lighting conditions.

๐Ÿ‘ฅ Authors: Shaofei Wang, Boลพidar Antiฤ‡, Andreas Geiger, and Siyu Tang

๐Ÿ“… Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA ๐Ÿ‡บ๐Ÿ‡ธ

๐Ÿ”— Paper: IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing (2312.05210)

๐ŸŒ Github Page: https://neuralbodies.github.io/IntrinsicAvatar/
๐Ÿ“ Repository: https://github.com/taconite/IntrinsicAvatar

๐Ÿ“บ Video: https://www.youtube.com/watch?v=aS8AIxgVXzI

๐Ÿš€ CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers

๐Ÿš€ WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers

๐Ÿš€ ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers

๐Ÿ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

๐Ÿš€ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

๐Ÿ” Keywords: #IntrinsicAvatar #InverseRendering #MonocularVideos #RayTracing #VolumetricScattering #3DReconstruction #MachineLearning #ComputerVision #DeepLearning #AI #CVPR2024
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2910
๐Ÿ”ฅ๐ŸŽญ๐ŸŒŸ New Research Alert - ECCV 2024 (Avatars Collection)! ๐ŸŒŸ๐ŸŽญ๐Ÿ”ฅ
๐Ÿ“„ Title: RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models ๐Ÿ”

๐Ÿ“ Description: RodinHD generates high-fidelity 3D avatars from portrait images using a novel data scheduling strategy and weight consolidation regularization to capture intricate details such as hairstyles.

๐Ÿ‘ฅ Authors: Bowen Zhang, @yiji , @chunyuwang , Ting Zhang, @jiaolong , Yansong Tang, Feng Zhao, Dong Chen, and Baining Guo

๐Ÿ“… Conference: ECCV, 29 Sep โ€“ 4 Oct, 2024 | Milano, Italy ๐Ÿ‡ฎ๐Ÿ‡น

๐Ÿ“„ Paper: RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models (2407.06938)

๐ŸŒ Github Page: https://rodinhd.github.io/
๐Ÿ“ Repository: https://github.com/RodinHD/RodinHD

๐Ÿ“บ Video: https://www.youtube.com/watch?v=ULvHt7dZx-Q

๐Ÿš€ CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers

๐Ÿš€ WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers

๐Ÿš€ ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers

๐Ÿ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

๐Ÿš€ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

๐Ÿ” Keywords: #RodinHD #3DAvatars #DiffusionModels #HighFidelity #PortraitTo3D #MachineLearning #ComputerVision #DeepLearning #AI #ECCV2024

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