3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2024★ 3 cited
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
Ce Liu, Suryansh Kumar, Shuhang Gu +3
We introduce Stereo Risk, a new deep-learning approach to solve the classical stereo-matching problem in computer vision. As it is well-known that stereo matching boils down to a p…
cs.CV2024
PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models
Jinhua Zhang, Hualian Sheng, Sijia Cai +6
Controllable generation is considered a potentially vital approach to address the challenge of annotating 3D data, and the precision of such controllable generation becomes particu…
cs.CV2023
Learning Motion Refinement for Unsupervised Face Animation
Jiale Tao, Shuhang Gu, Wen Li +1
Unsupervised face animation aims to generate a human face video based on the appearance of a source image, mimicking the motion from a driving video. Existing methods typically ado…