37 रिपॉजिटरी
Awesome GitHub RepositoriesInverse Problems
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Awesome Inverse Problems GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- geekyutao/inpaint-anything
geekyutao/Inpaint-Anything
7,642GitHub पर देखेंInpaint-Anything is a diffusion-based image editor and inpainting tool designed to remove or replace objects in images, videos, and 3D scenes. It functions as a text-guided manipulator that uses natural language descriptions and mask-based filling to modify visual content. The system provides specialized capabilities for multi-view 3D scene editing and video object removal. It tracks selected objects across multiple frames or perspectives to synthesize consistent backgrounds and maintain spatial coherence after an element is removed. The tool covers a range of image manipulation tasks, inclu
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Jupyter Notebook - xpixelgroup/diffbir
XPixelGroup/DiffBIR
4,087GitHub पर देखेंDiffBIR एक डिफ्यूजन-आधारित इमेज रेस्टोरेशन फ्रेमवर्क है जिसे ब्लाइंड इमेज रिकंस्ट्रक्शन के लिए डिज़ाइन किया गया है। यह अज्ञात या जटिल गिरावट (degradations) वाले स्रोतों से उच्च-गुणवत्ता वाली छवियों को पुनर्प्राप्त करने के लिए जेनरेटिव डिफ्यूजन प्रायर का उपयोग करता है, जिसके लिए स्पष्ट डिग्रेडेशन मॉडल की आवश्यकता नहीं होती है। इस सिस्टम में फेस रेस्टोरेशन के लिए विशेष मॉडल शामिल हैं, जो खराब हो चुकी तस्वीरों में चेहरे के लैंडमार्क, टेक्सचर और बैकग्राउंड को रिकवर करने में सक्षम हैं। सीमित मेमोरी वाले हार्डवेयर पर उच्च-रिज़ॉल्यूशन आउटपुट का समर्थन करने के लिए, यह एक टाइल्ड इमेज अपस्केलर का उपयोग करता है जो सैंपलिंग के दौरान छवियों को छोटे पैच में विभाजित करता है। यह फ्रेमवर्क मल्टी-स्टेज रेस्टोरेशन पाइपलाइन और जेनरेटिव इमेज अपस्केलिंग को कवर करता है। इसमें रेस्टोरेशन मॉडल ट्रेनिंग और विशिष्ट दृश्यों के लिए एन्हांसमेंट को ऑप्टिमाइज़ करने हेतु विशेष वेट्स (weights) लागू करने की क्षमताएं शामिल हैं।
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - iceclear/stablesr
IceClear/StableSR
2,659GitHub पर देखेंPaper | Project Page | Video | WebUI | ModelScope | ComfyUI
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - zsyoaoa/resshift
zsyOAOA/ResShift
1,407GitHub पर देखेंZongsheng Yue, Jianyi Wang, Chen Change Loy
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - wyhuai/ddnm
wyhuai/DDNM
1,345GitHub पर देखेंYinhuai Wang, Jiwen Yu, Jian Zhang Peking University and PCL \*denotes equal contribution
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - arpitbansal297/cold-diffusion-models
arpitbansal297/Cold-Diffusion-Models
1,127GitHub पर देखेंOfficial implementation of Cold-Diffusion for different transformations in pytorch.
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - algolzw/image-restoration-sde
Algolzw/image-restoration-sde
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön Department of Information Technology, Uppsala University
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - zsyoaoa/difface
zsyOAOA/DifFace
Zongsheng Yue, Chen Change Loy
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - nachifur/rddm
nachifur/RDDM
CVPR 2024: Residual Denoising Diffusion Models
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - dps2022/diffusion-posterior-sampling
DPS2022/diffusion-posterior-sampling
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Pythondiffusion-modelinverse-problemspytorch - yuanzhi-zhu/diffpir
yuanzhi-zhu/DiffPIR
Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - igitugraz/weatherdiffusion
IGITUGraz/WeatherDiffusion
This is the code repository of the following paper to train and perform inference with patch-based diffusion models for image restoration under adverse weather conditions.
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - royalvice/docdiff
Royalvice/DocDiff
ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - duanyiqun/diffusiondepth
duanyiqun/DiffusionDepth
PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - stanfordmimi/ddm2
StanfordMIMI/DDM2
ICLR2023 Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - pq-yang/pgdiff
pq-yang/PGDiff
NeurIPS 2023 PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - liturout/psld
LituRout/PSLD
The repository contains reproducible PyTorch source code of our paper Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. We present the first framework to solve general inverse problems leveraging pre-trained latent diffusion models. Previously proposed…
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Jupyter Notebook - biomedai-ucsc/inversesr
BioMedAI-UCSC/InverseSR
Early Accepted at MICCAI 2023 Pytorch Code of "InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model"
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - yuyangyin/clediffusion
YuyangYin/CLEDiffusion
Authors: Yuyang Yin, Dejia Xu, Chuangchuang Tan, Ping Liu, Yao Zhao, Yunchao Wei
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
Python - ucsb-nlp-chang/copaint
UCSB-NLP-Chang/CoPaint
This is the official impelmenation of the paper Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models.
Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.
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