https://github.com/tensorpack/tensorpack/tree/master/examples/GAN
Image-to-Image Translation with Conditional Adversarial Networks
Papers with Code 아카이브
1 Image, 2*2 Stitching
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tensorpack/tensorpack/tree/master/examples/ResNet
https://github.com/tgeorgy/mgan
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/tgisaturday/taming-transformers-tpu
https://github.com/the-super-toys/glimpse-models
https://github.com/theairbend3r/how-to-train-your-neural-net/blob/master/pytorch/computer_vision/domain_adaptation/gradient_reverse_layer.ipynb
https://github.com/theburgman21/Pix2Pix-Deblurrer
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/threeracha/Chuibbo-Flask-Server
https://github.com/thu-cvml/texturediffusion
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
https://github.com/thu-ml/dbim
https://github.com/thu-ml/diffusionbridge
https://github.com/thughost2/Padam
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/thuml/Transfer-Learning-Library
https://github.com/tiagoCuervo/JapaNet
https://github.com/tiancity-NJU/da-faster-rcnn-PyTorch
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/tianhai123/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/timgaripov/asa
https://github.com/tinawu-23/smart-sketch
Semantic Image Synthesis with Spatially-Adaptive Normalization
https://github.com/tiskw/Linear-Image2Image-Transformation
The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation
https://github.com/tiwarikajal/SketchIT--Conversion-of-Images-to-Sketches-using-Conditional-GAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/tkhkaeio/CyCADA
https://github.com/tmabraham/UPIT
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/togheppi/dualgan
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
https://github.com/tollymune/CycleGAN-PyTorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tomgillooly/geogan
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/towhee-io/towhee
https://github.com/trachpro/arcface-tf2
https://github.com/trzy/VGG16
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/twyunting/Deepfake_Video_Classifier
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/u7javed/Bidirectional-Image-to-Image-Translator
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ubc-tea/Improving-Fairness-in-Image-Classification-via-Sketching
Learning to generate line drawings that convey geometry and semantics
https://github.com/ubc-vision/DwNet
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/uclaml/Padam
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ucsd-ml-arts/ml-art-final-chandhini-g-1
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/ucsd-ml-arts/ml-art-final-justin-law
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ultralytics/yolov5
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.