most citedRealism Control One-step Diffusion for Real-World Image Super-Resolution

1 citations · 1 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Hear the World in Stereo: Learning Dynamic Spatial Correspondence for Immersive Joint Video-Audio Generation

Hanmo Chen, Chengcheng Liu, Tianxiao Chen +8

Recent joint video-audio generation models have achieved strong semantic correspondence and temporal synchronization. However, applications such as AR/VR and interactive gaming fur…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025★ 1 cited

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…

cs.CV2025

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…

cs.CV2025

HyperMotionX: The Dataset and Benchmark with DiT-Based Pose-Guided Human Image Animation of Complex Motions

Shuolin Xu, Siming Zheng, Ziyi Wang +7

Recent advances in diffusion models have significantly improved conditional video generation, particularly in the pose-guided human image animation task. Although existing methods…

cs.CV2025

Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model

Yang Yang, Siming Zheng, Qirui Yang +6

Diffusion models have recently emerged as powerful tools for camera simulation, enabling both geometric transformations and realistic optical effects. Among these, image-based boke…

cs.CV2025

MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on

Guangyuan Li, Siming Zheng, Hao Zhang +6

Video Virtual Try-On (VVT) aims to synthesize garments that appear natural across consecutive video frames, capturing both their dynamics and interactions with human motion. Despit…

cs.CV2025

Photography Perspective Composition: Towards Aesthetic Perspective Recommendation

Lujian Yao, Siming Zheng, Xinbin Yuan +5

Traditional photography composition approaches are dominated by 2D cropping-based methods. However, these methods fall short when scenes contain poorly arranged subjects. Professio…