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publications
Towards Coherent Video Colorization: When Optical Flow Meets Image Diffusion Models
Published in IEEE International Conference on Image Processing (ICIP), 2026, 2026
Abstract
Existing diffusion video colorization suffers from costly training and temporal flickering. We propose an optical flow-guided diffusion model with cross-frame attention for consistent color propagation under complex motions, plus reference image guidance for higher color fidelity. A hybrid synthetic data pipeline lowers real data reliance via two-stage training. Evaluations validate our advantages in training efficiency, temporal coherence and color quality.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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