https://github.com/ali-vilab/i2vgen-xl
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Papers with Code 아카이브
Sketch
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ali-vilab/videocomposer
Composer: Creative and Controllable Image Synthesis with Composable Conditions
https://github.com/aliaksandrsiarohin/mem-transfer
How to Make an Image More Memorable? A Deep Style Transfer Approach
https://github.com/alililia/vision/tree/main/CycleGAN-MS
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/alishdipani/Neural-Style-Transfer-Audio
https://github.com/alvinwan/shiftresnet-cifar
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
https://github.com/amazingyyc/Brouhaha
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/anastassia-b/neural-algorithm-artistic-style
https://github.com/andy-yangz/writing_style_transfer
https://github.com/anhkhoa039/Neural-Style-Transfer
https://github.com/anhoangphuc/neural_style_transfer
https://github.com/anishathalye/neural-style
https://github.com/anishreddy3/Art-generation-neural-style-transfer
https://github.com/anitagold/60-days-of-Udacity
https://github.com/anjalipemmaraju/cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/anjalipemmaraju/styletransfernetwork
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/anujdutt9/Artistic-Style-Transfer-using-Keras-Tensorflow
https://github.com/aobaruwa/TensorFlow-Projects
https://github.com/aquib1011/Image-to-painting
https://github.com/aquib1011/Neural-Style-Transfer
https://github.com/archie252000/NeuralStyleTransfer
https://github.com/arnab39/cycleGAN-PyTorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/arnavdodiedo/Neural-Style-Transfer
https://github.com/arnavdodiedo/dog2sketch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/arnavdodiedo/sketch2face
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/arvind1998/Neural-Style-Transfer
https://github.com/aryan-mann/style-transfer
https://github.com/aryan26roy/Neural-Style-Transfer
https://github.com/ashura1234/soccer-line-detection
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/asraman9792/Generative-Adversarial-Networks-implementation-of-KERAS
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/asraman9792/Image-Dehazing-GANS
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/asyml/texar/tree/master/examples/text_style_transfer
Unsupervised Text Style Transfer using Language Models as Discriminators
https://github.com/atharva-18/Neural-Style-Transfer
https://github.com/aurelien-peden/Deep-Learning-paper-implementations
https://github.com/auspicious3000/autopst
https://github.com/auspicious3000/autovc
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.