Search Results for author: Yinhuai Wang

Found 8 papers, 6 papers with code

DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement

no code implementations18 Aug 2023 Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang, Jiwen Yu, YuHan Wang, Jian Zhang

Specifically, we adopt a naive unsupervised enhancement algorithm to realize preliminary restoration and design two zero-shot plug-and-play modules based on diffusion model to improve generalization and effectiveness.

Denoising Low-Light Image Enhancement

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

1 code implementation17 Mar 2023 Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang

In this work, we propose a training-Free conditional Diffusion Model (FreeDoM) used for various conditions.

Face Detection

Unlimited-Size Diffusion Restoration

1 code implementation1 Mar 2023 Yinhuai Wang, Jiwen Yu, Runyi Yu, Jian Zhang

Our simple, parameter-free approaches can be used not only for image restoration but also for image generation of unlimited sizes, with the potential to be a general tool for diffusion models.

Image Generation Image Restoration

Position Embedding Needs an Independent Layer Normalization

no code implementations10 Dec 2022 Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Yian Zhao, Jian Zhang, Guoli Song, Jie Chen

By analyzing the input and output of each encoder layer in VTs using reparameterization and visualization, we find that the default PE joining method (simply adding the PE and patch embedding together) operates the same affine transformation to token embedding and PE, which limits the expressiveness of PE and hence constrains the performance of VTs.

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

2 code implementations1 Dec 2022 Yinhuai Wang, Jiwen Yu, Jian Zhang

Most existing Image Restoration (IR) models are task-specific, which can not be generalized to different degradation operators.

Colorization Deblurring +7

GAN Prior based Null-Space Learning for Consistent Super-Resolution

1 code implementation24 Nov 2022 Yinhuai Wang, Yujie Hu, Jiwen Yu, Jian Zhang

Consistency and realness have always been the two critical issues of image super-resolution.

Image Super-Resolution

Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration

1 code implementation16 Mar 2022 Yinhuai Wang, Yujie Hu, Jian Zhang

Emerging high-quality face restoration (FR) methods often utilize pre-trained GAN models (\textit{i. e.}, StyleGAN2) as GAN Prior.

Representation Learning Super-Resolution

NeRFocus: Neural Radiance Field for 3D Synthetic Defocus

1 code implementation10 Mar 2022 Yinhuai Wang, Shuzhou Yang, Yujie Hu, Jian Zhang

Unlike the pinhole, the thin lens refracts rays of a scene point, so its imaging on the sensor plane is scattered as a circle of confusion (CoC).

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