Post
1764
🚀🤖🌟 New Research Alert - CVPR 2024! 🌟🤖🚀
📄 Title: RoHM: Robust Human Motion Reconstruction via Diffusion 🔝
📝 Description: RoHM is a diffusion-based approach for robust 3D human motion reconstruction from monocular RGB(-D) videos, effectively handling noise and occlusions to produce complete and coherent motions. This method outperforms current techniques in various tasks and is faster at test time.
👥 Authors: Siwei Zhang et al.
📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸
📄 Paper: RoHM: Robust Human Motion Reconstruction via Diffusion (2401.08570)
🌐 GitHub Page: https://sanweiliti.github.io/ROHM/ROHM.html
📁 Repository: https://github.com/sanweiliti/RoHM
🚀 Added to the CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers
📚 More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
🔍 Keywords: #RoHM #HumanMotionReconstruction #DiffusionModels #3DAnimation #CVPR2024 #DeepLearning #ComputerVision #Innovation
📄 Title: RoHM: Robust Human Motion Reconstruction via Diffusion 🔝
📝 Description: RoHM is a diffusion-based approach for robust 3D human motion reconstruction from monocular RGB(-D) videos, effectively handling noise and occlusions to produce complete and coherent motions. This method outperforms current techniques in various tasks and is faster at test time.
👥 Authors: Siwei Zhang et al.
📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸
📄 Paper: RoHM: Robust Human Motion Reconstruction via Diffusion (2401.08570)
🌐 GitHub Page: https://sanweiliti.github.io/ROHM/ROHM.html
📁 Repository: https://github.com/sanweiliti/RoHM
🚀 Added to the CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers
📚 More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
🔍 Keywords: #RoHM #HumanMotionReconstruction #DiffusionModels #3DAnimation #CVPR2024 #DeepLearning #ComputerVision #Innovation