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RePaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

Language:Python189300

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

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OMG-Seg

OMG-LLaVA and OMG-Seg codebase

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AnyDoor

Official implementations for paper: Anydoor: zero-shot object-level image customization

Language:PythonMIT386900

ClickSEG

A code base for interactive segmentation

Language:PythonApache-2.018200

matting-survey

Deep Image Matting: A Comprehensive Survey

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

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BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

DFC2024

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CVQ-VAE

[ICCV 2023] Online Clustered Codebook

Language:PythonMIT13000

PRML

PRML algorithms implemented in Python

Language:Jupyter NotebookMIT1136100

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

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Awesome-DeepLearning-500FAQ

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，50余万字。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

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statistical-learning-method-solutions-manual

统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

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benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Language:PythonApache-2.0175000

awesome-RSVLM

Collection of Remote Sensing Vision-Language Models

MIT11600

hourglassattention

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QueryOTR

[ECCV2022] Official PyTorch implementation of the paper "Outpainting by Queries"

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RRSGAN

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IJCAI23-LGPConv

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visual_prompting

Exploring Visual Prompts for Adapting Large-Scale Models

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vpt

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

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HyperPanCollection

Datasets for Hyperspectral Pansharpening; Deep Learning; CNN

GPL-3.08400

Mutual-Information-driven-Pan-sharpening

Mutual Information-driven Pan-sharpening

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S2DBPN

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PSCF-Net

Deeply coupled feedback network for pansharpening named PSCF-Net

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PSDNet

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-LNM-PS

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UAPN

Official PyTorch implementation of our TGRS paper: Deep Adaptive Pansharpening via Uncertainty-aware Image Fusion.

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UTSN

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