This study proposes DNF-SR, a dual-input and Negative-aware Feature fine-tuning method for Real-ISR that uses a dual-input strategy that concatenates the original LR image with the noisy LR input and feeds them into a diffusion-based image editing model, ensuring both high-fidelity one-step super-resolution and improve...
Shu-Hao Han, Wen-Jie Liao, Hayden Vance et al.· 1 citation
While generative AI has significantly advanced video editing, existing methods primarily focus on single-shot or short video clips. Editing long videos with multiple instructions remains a formidable challenge. Naive chunking strategies, e.g., fixed-duration segmentation, often lead to entity fragmentation, severe edit...
Chen-Yang Wu, Fuchen Long, Bin-Yuan Huang et al.· 0 citations
FlowPainter is introduced, a diffusion-based optical flow framework that reformulates dense-flow generation as confidence-guided soft inpainting and offers a practical way to integrate reliable discriminative priors with diffusion-based refinement for optical flow estimation.
Yuan Meng, Chen Wu, Xianshun Liu et al.· arXiv.org· 0 citations
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