2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2024
Affine-based Deformable Attention and Selective Fusion for Semi-dense Matching
Hongkai Chen, Zixin Luo, Yurun Tian +8
Identifying robust and accurate correspondences across images is a fundamental problem in computer vision that enables various downstream tasks. Recent semi-dense matching methods…
cs.CV2023
Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion
Yuanxun Lu, Jingyang Zhang, Shiwei Li +6
Recent advances in generative AI have unveiled significant potential for the creation of 3D content. However, current methods either apply a pre-trained 2D diffusion model with the…
cs.CV2023★ 2 cited
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
Jingyang Zhang, Shiwei Li, Yuanxun Lu +5
We introduce JointNet, a novel neural network architecture for modeling the joint distribution of images and an additional dense modality (e.g., depth maps). JointNet is extended f…