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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/echigot/cactif
공식 코드Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation
https://github.com/eezkni/fdl
공식 코드Misalignment-Robust Frequency Distribution Loss for Image Transformation
https://github.com/elbria/xformal-fost-meta
공식 코드https://github.com/emmanueliarussi/generative3DSpongiosa
공식 코드Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters
https://github.com/emreaksan/deepwriting
공식 코드DeepWriting: Making Digital Ink Editable via Deep Generative Modeling
https://github.com/endywon/aesust
공식 코드https://github.com/endywon/microast
공식 코드MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
https://github.com/erilyth/DistributionAwareBinarizedNetworks-WACV18
공식 코드Distribution-Aware Binarization of Neural Networks for Sketch Recognition
https://github.com/eth-sri/fairness-feedback-nlp
공식 코드Human-Guided Fair Classification for Natural Language Processing
https://github.com/ethz-asl/3dsnet
공식 코드https://github.com/explainableml/sketch-primitives
공식 코드https://github.com/facebookresearch/mils
공식 코드https://github.com/fallenshock/SinDDM
공식 코드https://github.com/fangleai/Implicit-LVM
공식 코드https://github.com/fastnlp/nlp-dataset
공식 코드Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
https://github.com/fastnlp/style-transformer
공식 코드Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
https://github.com/fe1ixxu/vt-stower
공식 코드VAE based Text Style Transfer with Pivot Words Enhancement Learning
https://github.com/fei-hdu/ca-gan
공식 코드Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs
https://github.com/fei-hdu/sRender
공식 코드Bridging Unpaired Facial Photos And Sketches By Line-drawings
https://github.com/fengxiaoming520/rlministyler
공식 코드RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
https://github.com/fidansamet/tune-it-up
공식 코드https://github.com/filippobotti/mambast
공식 코드https://github.com/florianmai/emb2emb
공식 코드https://github.com/fmerizzi/procedural-terrain-generation-with-style-transfer
공식 코드https://github.com/fmorenovr/WSAM_Style
공식 코드https://github.com/freestylefreelunch/freestyle
공식 코드FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models
https://github.com/frxxzhl/ssebt
공식 코드https://github.com/furkanbiten/SelectiveTextStyleTransfer
공식 코드https://github.com/fuzhenxin/Style-Transfer-in-Text
공식 코드https://github.com/giddyyupp/wait
공식 코드WAIT: Feature Warping for Animation to Illustration video Translation using GANs
https://github.com/gkw0010/eisost-sim2real-dataset-release
공식 코드Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs
https://github.com/golsun/StyleFusion
공식 코드https://github.com/google-research-datasets/poem-sentiment
공식 코드Investigating Societal Biases in a Poetry Composition System
https://github.com/gouqi666/rast
공식 코드Diversify Question Generation with Retrieval-Augmented Style Transfer
https://github.com/ground-a-video/ground-a-video
공식 코드Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.