30 citations · 44 across the 6 of their papers we have counts for
6 papers
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement
Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang +3
Existing unsupervised low-light image enhancement methods lack enough effectiveness and generalization in practical applications. We suppose this is because of the absence of expli…
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
Jiwen Yu, Xuanyu Zhang, Youmin Xu +1
Current image steganography techniques are mainly focused on cover-based methods, which commonly have the risk of leaking secret images and poor robustness against degraded contain…
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Jiwen Yu, Yinhuai Wang, Chen Zhao +2
Recently, conditional diffusion models have gained popularity in numerous applications due to their exceptional generation ability. However, many existing methods are training-requ…
Unlimited-Size Diffusion Restoration
Yinhuai Wang, Jiwen Yu, Runyi Yu +1
Recently, using diffusion models for zero-shot image restoration (IR) has become a new hot paradigm. This type of method only needs to use the pre-trained off-the-shelf diffusion m…
GAN Prior based Null-Space Learning for Consistent Super-Resolution
Yinhuai Wang, Yujie Hu, Jiwen Yu +1
Consistency and realness have always been the two critical issues of image super-resolution. While the realness has been dramatically improved with the use of GAN prior, the state-…
NeRFocus: Neural Radiance Field for 3D Synthetic Defocus
Yinhuai Wang, Shuzhou Yang, Yujie Hu +1
Neural radiance fields (NeRF) bring a new wave for 3D interactive experiences. However, as an important part of the immersive experiences, the defocus effects have not been fully e…