Diffusion modelFeature fusionGuided depth super-resolutionImage reconstruction? 2024Color-guided depth map super-resolution (CDSR) improves the spatial resolution of a low-quality depth map with the corresponding high-quality color map, benefiting various applications such as 3D reconstruction, virtual ...
[论文阅读笔记]ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution 麦艾斯 允许自己做自己,允许别人做别人 14 人赞同了该文章 1. 目标问题 图像超分任务中,输入图像的退化会导致图像中的高频细节丢失,并且由于退化手段的多样性,多个HR图像可能产生相同的LR图像,目前diffusion的图像生成能力有目...
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting Jscognize 随遇而安 12 人赞同了该文章 作者:Zongsheng Yue Jianyi Wang Chen Change Loy 单位:S-Lab, Nanyang Technological University 1 摘要 近年来基于DDPM的超分辨率任务都面临着一个最主要的问题,采样(推理)速度慢,模型...
而神经网络可以对某个函数进行逼近得到近似解,所以我们可以训练一个神经网络对图像进行近似表示。 2. 去噪扩散模型(DDPM - Denoising Diffusion Probabilistic Model 扩散概率模型)--后面出个时间写下这个论文的笔记 扩散是指物质粒子从高浓度区域向低浓度区域移动的过程,扩散模型想做的就是通过向图片中加入高斯噪声模拟...
diffusion model for SR that significantly reduces the number of diffusion steps, thereby eliminating the need for post-acceleration during inference and its associated performance deterioration. Our method constructs a Markov chain that transfers between the high-resolution image and the low-resolution ...
@article{wang2024sam,title={SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution},author={Wang, Chengcheng and Hao, Zhiwei and Tang, Yehui and Guo, Jianyuan and Yang, Yujie and Han, Kai and Wang, Yunhe},journal={arXiv preprint arXiv:2402.17133},year={2024}} ...
Single image super-resolution (SISR) aims to reconstruct high-resolution (HR) images from given low-resolution (LR) images. It is an ill-posed problem because one LR image corresponds to multiple HR images. Recently, learning-based SISR methods have greatly outperformed traditional methods. However...
1. MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces(哈工大 刘明、左旺孟团队) Paper:ICCV 2023 Open Access Repository Code:https://github.com/yinzhicun/MetaF2N 2. DARSR | Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Su...
在diffusion.test()方法中,会调用model.py中的test函数,进而执行ddpm_modules或sr3_modules中的super_resolution函数。此处的x_in代表超分辨率图像,因为在采样结束时需要生成的是超分辨率图像。采样过程是一个从x_T到x_0的迭代过程,其中每一步都涉及计算均值和方差,并通过重参数化得到x_t。在这个过程中,self....
CCSR: Improving the Stability of Diffusion Models for Content Consistent Super-Resolution 星晴 AIGC 来自专栏 · 图像超分辨率 13 人赞同了该文章 港理工张磊组的工作,同时是SeeSR论文部分成员的工作。旨在提升SR中Diffusion Model的稳定性,核心思想还是DM在底层视觉的关键问题:Fidelity-Realness Trade-off。 ar...