利用参数曲线演化进行快速图像分割与修复

Invert2Restore：零样本退化盲图像恢复

Invert2Restore: Zero-Shot Degradation-Blind Image Restoration

提出零样本无训练方法Invert2Restore，利用预训练扩散模型将退化图像对应噪声引导至高密度区域，实现无需退化先验的高保真图像恢复，在未知或部分已知退化场景中达最优性能。

Perceptual Image Restoration with High-Quality Priori and Degradation Learning

Perceptual image restoration seeks for high-fidelity images that most likely degrade to given images. For better visual quality, previous work proposed to search for solutions within the natural image manifold, by exploiting the latent space of a generative model. However, the quality of generated images are only guaranteed when latent embedding lies close to the prior distribution. In this work, we propose to restrict the feasible region within the prior manifold. This is accomplished with a non-parametric metric for two distributions: the Maximum Mean Discrepancy (MMD). Moreover, we model th…

Cascades of Regression Tree Fields for Image Restoration

Conditional random fields (CRFs) are popular discriminative models for computer vision and have been successfully applied in the domain of image restoration, especially to image denoising. For image deblurring, however, discriminative approaches have been mostly lacking. We posit two reasons for this: First, the blur kernel is often only known at test time, requiring any discriminative approach to cope with considerable variability. Second, given this variability it is quite difficult to construct suitable features for discriminative prediction. To address these challenges we first show a conn…

HandCraft：扩散生成图像中畸形手的解剖学正确修复

HandCraft: Anatomically Correct Restoration of Malformed Hands in Diffusion Generated Images

本文提出HandCraft方法，利用参数化模型生成掩码和深度图像作为条件信号，修复扩散模型生成的畸形手，同时保持原图姿态、颜色和风格，并贡献了MalHand数据集用于训练和基准测试。

Constraint matrix factorization for space variant PSFs field restoration

Context: in large-scale spatial surveys, the Point Spread Function (PSF) varies across the instrument field of view (FOV). Local measurements of the PSFs are given by the isolated stars images. Yet, these estimates may not be directly usable for post-processings because of the observational noise and potentially the aliasing. Aims: given a set of aliased and noisy stars images from a telescope, we want to estimate well-resolved and noise-free PSFs at the observed stars positions, in particular, exploiting the spatial correlation of the PSFs across the FOV. Contributions: we introduce RCA (Reso…

Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing

We present the Cross-stitched Multi-task Unified Dual Recursive Network (CMUDRN) model targeting the task of unified deraining and desnowing in a multi-task learning setting. This unified model borrows from the basic Dual Recursive Network (DRN) architecture developed by Cai et al. The proposed model makes use of cross-stitch units that enable multi-task learning across two separate DRN models, each tasked for single image deraining and desnowing, respectively. By fixing cross-stitch units at several layers of basic task-specific DRN networks, we perform multi-task learning over the two separa…

基于检索增强生成的低光照图像增强颜色恢复

Retrieval-Augmented Generation-Based Color Restoration for Low-Light Image Enhancement

本研究针对低光照图像增强的系统性颜色偏移问题，提出基于检索增强生成（RAG）的独立颜色恢复后处理模块，可适配多种前端模型并提升颜色相关指标。