Post
2299
ππΊπ New Research Alert - CVPR 2024 (Avatars Collection)! πππ
π Title: IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing π
π 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.
π₯ Authors: Shaofei Wang, BoΕΎidar AntiΔ, Andreas Geiger, and Siyu Tang
π Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA πΊπΈ
π Paper: IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing (2312.05210)
π Github Page: https://neuralbodies.github.io/IntrinsicAvatar/
π Repository: https://github.com/taconite/IntrinsicAvatar
πΊ Video: https://www.youtube.com/watch?v=aS8AIxgVXzI
π CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers
π WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers
π ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers
π More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
π Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
π Keywords: #IntrinsicAvatar #InverseRendering #MonocularVideos #RayTracing #VolumetricScattering #3DReconstruction #MachineLearning #ComputerVision #DeepLearning #AI #CVPR2024
π Title: IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing π
π 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.
π₯ Authors: Shaofei Wang, BoΕΎidar AntiΔ, Andreas Geiger, and Siyu Tang
π Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA πΊπΈ
π Paper: IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing (2312.05210)
π Github Page: https://neuralbodies.github.io/IntrinsicAvatar/
π Repository: https://github.com/taconite/IntrinsicAvatar
πΊ Video: https://www.youtube.com/watch?v=aS8AIxgVXzI
π CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers
π WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers
π ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers
π More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
π Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
π Keywords: #IntrinsicAvatar #InverseRendering #MonocularVideos #RayTracing #VolumetricScattering #3DReconstruction #MachineLearning #ComputerVision #DeepLearning #AI #CVPR2024