arXiv:2312.02725
R3D-SWIN:Use Shifted Window Attention for Single-View 3D Reconstruction
원문 초록
Recently, vision transformers have performed well in various computer vision tasks, including voxel 3D reconstruction. However, the windows of the vision transformer are not multi-scale, and there is no connection between the windows, which limits the accuracy of voxel 3D reconstruction. Therefore, we propose a voxel 3D reconstruction network based on shifted window attention. To the best of our knowledge, this is the first work to apply shifted window attention to voxel 3D reconstruction. Experimental results on ShapeNet verify our method achieves SOTA accuracy in single-view reconstruction.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
ViT-NeBLa: A Hybrid Vision Transformer and Neural Beer-Lambert Framework for Single-View 3D Reconstruction of Oral Anatomy from Panoramic Radiographs
SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping
ACT-R: Adaptive Camera Trajectories for Single View 3D Reconstruction
GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing
Towards End-to-End Neuromorphic Voxel-based 3D Object Reconstruction Without Physical Priors
SpatialTrackerV2: 3D Point Tracking Made Easy
토론
이 논문과 연결된 포럼 글이 아직 없습니다.