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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/divamgupta/stable-diffusion-tensorflow

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/divisionai/deep-photo-styletransfer

Deep Photo Style Transfer

https://github.com/divyanshu092/Photorealistic_Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/diyiiyiii/arbitrary-style-transfer-via-multi-adaptation-network

Arbitrary Style Transfer via Multi-Adaptation Network

https://github.com/dizhongzhu/Humanbody_Literatures

Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

https://github.com/djsinghnegi/SRINImageEnhancemrntGAN

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

https://github.com/dkoleber/multi_style_transfer

A Neural Algorithm of Artistic Style

https://github.com/dlinzner-bcs/min_neuralODEs

Neural Ordinary Differential Equations

https://github.com/doantienthongbku/ESRGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/doc-doc/NExT-OE

Emu: Generative Pretraining in Multimodality

https://github.com/dog-qiuqiu/MobileNetV2-SimplePose

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/dog-qiuqiu/Ultralight-SimplePose

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/doheelab/pku-CenterNet

Objects as Points

https://github.com/dokyeongK/Pytorch_SRCNN

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/dokyeongK/Single-Image-Super-Resolution-Reimplemenation

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/dome272/MaskGIT-pytorch

MaskGIT: Masked Generative Image Transformer

https://github.com/dome272/VQGAN

Taming Transformers for High-Resolution Image Synthesis

https://github.com/dome272/vqgan-pytorch

Taming Transformers for High-Resolution Image Synthesis

https://github.com/dome272/wuerstchen

A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces

https://github.com/dongdongdong666/CPGAN

Generative Adversarial Text to Image Synthesis

https://github.com/dongkwani/upcsc

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/dongmingli-Ben/MidiNet-by-pytorch-Debugged

MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

https://github.com/dongzhuoyao/jessiechouuu-adversarial-pose

Self Adversarial Training for Human Pose Estimation

https://github.com/dorian-v/simple_neural_style_transfer

A Neural Algorithm of Artistic Style

https://github.com/dragonbook/V2V-PoseNet-pytorch

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

https://github.com/dreamenwalker/Multi-focusNet

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

https://github.com/dreamway/CenterNet-objects-as-points

Objects as Points

https://github.com/drhdr-user/drhdr

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

https://github.com/dronefreak/human-action-classification

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

https://github.com/dsba-lab/openal

Learning Loss for Active Learning

https://github.com/dslisleedh/NAFNet-flax

Simple Baselines for Image Restoration

https://github.com/dslisleedh/NAFNet-tensorflow2

Simple Baselines for Image Restoration

https://github.com/dstein64/pastiche

A Neural Algorithm of Artistic Style

https://github.com/dstrick17/Deep-Learning-Project

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

https://github.com/dtrizna/StyleTransfer

A Neural Algorithm of Artistic Style

https://github.com/ducongju/HRNet

Deep High-Resolution Representation Learning for Human Pose Estimation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.