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cs.CV2026
FC-VFI: Faithful and Consistent Video Frame Interpolation for High-FPS Slow Motion Video Generation
Ganggui Ding, Hao Chen, Xiaogang Xu
Large pre-trained video diffusion models excel in video frame interpolation but struggle to generate high fidelity frames due to reliance on intrinsic generative priors, limiting d…
cs.CV2025
Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios
Chenglu Pan, Xiaogang Xu, Ganggui Ding +4
Restoring low-resolution text images presents a significant challenge, as it requires maintaining both the fidelity and stylistic realism of the text in restored images. Existing t…
cs.CV2024
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition
Ganggui Ding, Canyu Zhao, Wen Wang +4
Benefiting from large-scale pre-trained text-to-image (T2I) generative models, impressive progress has been achieved in customized image generation, which aims to generate user-spe…