Mesh (3) 썸네일형 리스트형 [MeshAnything 논문 리뷰] - MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers *MeshAnything를 위한 논문 리뷰 글입니다! 궁금하신 점은 댓글로 남겨주세요! MeshAnything paper: https://arxiv.org/abs/2406.10163 MeshAnything: Artist-Created Mesh Generation with Autoregressive TransformersRecently, 3D assets created via reconstruction and generation have matched the quality of manually crafted assets, highlighting their potential for replacement. However, this potential is largely unrealized because thes.. [SMPL-X Implementation] KyujinHan/Smplify-X-Perfect-Implementation Github: https://github.com/KyujinHan/Smplify-X-Perfect-Implementation GitHub - KyujinHan/Smplify-X-Perfect-Implementation: Smplify-X implementation. (2024. 03. 18 No Error & Recent version) Smplify-X implementation. (2024. 03. 18 No Error & Recent version) - KyujinHan/Smplify-X-Perfect-Implementation github.com Smplify-X Implementation (recent version) SMPL-X를 예전에 구현한 적이 있었는데, 코드가 다시 날아가서 다시 구현하.. [MPS-Net 논문 리뷰] - Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video *MPS-Net를 위한 논문 리뷰 글입니다! 궁금하신 점은 댓글로 남겨주세요! MPS-Net project page: MPS-Net MPS-Net References [6] Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee. Beyond static features for temporally consistent 3D human pose and shape from a video. CVPR, 2021. [8] Carl Doersch and Andrew Zisserman. Sim2real transfer learning for 3D human mps-net.github.io MPS-Net github: GitHub - MPS-Net/MPS-Net_.. 이전 1 다음