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코드

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

https://github.com/MindCode-4/code-4/tree/main/rembert

Deep Residual Learning for Image Recognition

https://github.com/MindSpore-paper-code-2/code2/tree/main/Pix2Pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/MindSpore-paper-code-2/code2/tree/main/ReIDStrongBaseline

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/MindSpore-paper-code-2/code3/tree/main/TokenFusion

Multimodal Token Fusion for Vision Transformers

https://github.com/MindSpore-paper-code-2/code3/tree/main/U-GAT-IT

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

https://github.com/MindSpore-paper-code-2/code3/tree/main/ssd_resnet34

Deep Residual Learning for Image Recognition

https://github.com/MindSpore-paper-code-3/code3/tree/main/FaceAttribute

Deep Residual Learning for Image Recognition

https://github.com/MindSpore-paper-code-3/code5/tree/main/ReIDStrongBaseline

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/MindSpore-paper-code-3/code5/tree/main/resnet50_adv_pruning

Deep Residual Learning for Image Recognition

https://github.com/MindSpore-paper-code-3/code7/tree/main/FaceAttribute

Deep Residual Learning for Image Recognition

https://github.com/MindSpore-paper-code-3/code8/tree/main/FaceAttribute

Deep Residual Learning for Image Recognition

https://github.com/MindSpore-paper-code-3/code9/tree/main/CycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/MindSpore-scientific-2/code-10/tree/main/mgan-mindspore

GANimation: Anatomically-aware Facial Animation from a Single Image

https://github.com/MindSpore-scientific-2/code-11/tree/main/pixelshuffle1d

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement

https://github.com/MindSpore-scientific-2/code-4/tree/main/mgan-mindspore

GANimation: Anatomically-aware Facial Animation from a Single Image

https://github.com/MindSpore-scientific-2/code-4/tree/main/pixelshuffle1d

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement

https://github.com/MindSpore-scientific/code-13/tree/main/pixelshuffle1d

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement

https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/MioChiu/ResNet_TensorFlow

Deep Residual Learning for Image Recognition

https://github.com/MisaOgura/flashtorch

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Misaka9468/CloudTransfer-daytime2sunset-CycleGAN-Pytorch

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/MishaLaskin/vq-vae

Deep Residual Learning for Image Recognition

https://github.com/MishaLaskin/vqvae

Deep Residual Learning for Image Recognition

https://github.com/Montia/bw2color

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/MrRiahi/Convolutional-Neural-Networks-Tensorflow

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Mukosame/Anime2Sketch

Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis

https://github.com/NASA-NeMO-Net/NeMO-Net

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/NDCHIRO/Cartoonizer

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/NVIDIA/retinanet-examples

Deep Residual Learning for Image Recognition

https://github.com/NVlabs/DG-Net

Joint Discriminative and Generative Learning for Person Re-identification

https://github.com/Nadavc220/DomainAdversarialTrainingOfNeuralNetworks

Domain-Adversarial Training of Neural Networks

https://github.com/NathanDeMaria/AugmentedCycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/Negus25/MindSpore-StarGAN

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

https://github.com/NeuralVFX/lighting-swap-cyclegan

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/NeuralVFX/pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/Nguyendat-bit/pix2pix-tensorflow

Image-to-Image Translation with Conditional Adversarial Networks

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