5 papers · 1 filter
MagnifiQ: Patch-aware Text Guided Progressive Upscaling for High-Resolution Image Restoration
Mahesh Reddy, Yashesh Savani, Antoine Mercier +3
High-resolution image restoration from degraded inputs is challenging because it must preserve global structural consistency while recovering fine-grained local details, especially…
SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame Interpolation
Jisoo Jeong, Hong Cai, Jamie Menjay Lin +5
We propose Symmetric Nonlinear Motion-guided Generative Video Frame Interpolation (SNM-VFI), a training-free framework for motion-controllable generative video frame interpolation…
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization
Jamie Menjay Lin, Jisoo Jeong, Hong Cai +2
Motions of objects and scenes carry essential intelligence in video understanding, offering rich cues for interpreting dynamic settings and interactions. Due to the cost and scarci…
Learning Optical Flow Field via Neural Ordinary Differential Equation
Leyla Mirvakhabova, Hong Cai, Jisoo Jeong +3
Recent works on optical flow estimation use neural networks to predict the flow field that maps positions of one image to positions of the other. These networks consist of a featur…
Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties
Jisoo Jeong, Hong Cai, Jamie Menjay Lin +1
Conventional training for optical flow and stereo depth models typically employs a uniform loss function across all pixels. However, this one-size-fits-all approach often overlooks…