Mv-reid: 3d multi-view transformation network for occluded person re-identification
Re-identification (ReID) of occluded persons is a challenging task due to the loss of
information in scenes with occlusions. Most existing methods for occluded ReID use 2D …
information in scenes with occlusions. Most existing methods for occluded ReID use 2D …
Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling
Most existing 3D human pose estimation work rely heavily on the powerful memory
capability of networks to obtain suitable 2D-3D map**s from the training data. Few works …
capability of networks to obtain suitable 2D-3D map**s from the training data. Few works …
Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes
Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …
real scenes, is essential for computer graphics and computer vision. It enables the …
3D-LFM: Lifting Foundation Model
The lifting of a 3D structure and camera from 2D landmarks is at the cornerstone of the
discipline of computer vision. Traditional methods have been confined to specific rigid …
discipline of computer vision. Traditional methods have been confined to specific rigid …
Unsupervised 3D Structure Inference from Category-Specific Image Collections
Understanding 3D object structure from image collections of general object categories
remains a long-standing challenge in computer vision. Due to the high relevance of image …
remains a long-standing challenge in computer vision. Due to the high relevance of image …
Non-rigid Structure-from-Motion: Temporally-smooth Procrustean Alignment and Spatially-variant Deformation Modeling
J Shi, H Deng, Y Dai - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Abstract Even though Non-rigid Structure-from-Motion (NRSfM) has been extensively
studied and great progress has been made there are still key challenges that hinder their …
studied and great progress has been made there are still key challenges that hinder their …
3D Human Pose Analysis via Diffusion Synthesis
Diffusion models have demonstrated remarkable success in generative modeling. In this
paper, we propose PADS (Pose Analysis by Diffusion Synthesis), a novel framework …
paper, we propose PADS (Pose Analysis by Diffusion Synthesis), a novel framework …