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MagicMakeup: A Region-Controllable Diffusion Transformer for High-Fidelity Makeup-Transfer
Ziyi Wang, Siming Zheng, Yang Yang +5
Makeup-transfer applies the reference makeup to the source face while preserving the source identity. Despite advances in full-face editing by diffusion-based methods, strong regio…
SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing
Ying Zeng, Miaosen Luo, Guangyuan Li +10
Traditional photographic image editing typically requires users to possess sufficient aesthetic understanding to provide appropriate instructions for adjusting image quality and ca…
Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling
Yuan Wang, Yuhao Wan, Siming Zheng +3
Recent works have explored reference-based super-resolution (RefSR) to mitigate hallucinations in diffusion-based image restoration. A key challenge is that real-world degradations…
Sparse Transformer for Ultra-sparse Sampled Video Compressive Sensing
Miao Cao, Siming Zheng, Lishun Wang +3
Digital cameras consume ~0.1 microjoule per pixel to capture and encode video, resulting in a power usage of ~20W for a 4K sensor operating at 30 fps. Imagining gigapixel cameras o…
Realism Control One-step Diffusion for Real-World Image Super-Resolution
Zongliang Wu, Siming Zheng, Peng-Tao Jiang +1
Pre-trained diffusion models have shown great potential in real-world image super-resolution (Real-ISR) tasks by enabling high-resolution reconstructions. While one-step diffusion…
RED: Robust Event-Guided Motion Deblurring with Modality-Specific Disentanglement
Yihong Leng, Siming Zheng, Jinwei Chen +3
Event-guided motion deblurring reconstructs sharp images using the high-temporal-resolution motion cues from event cameras. However, in real capture, thresholding-induced event und…