https://github.com/xsimba123/demos-of-csf-sa
공식 코드Towards Using Clothes Style Transfer for Scenario-aware Person Video Generation
Papers with Code 아카이브
Drawing Pictures
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xtarx/StainGAN
공식 코드StainGAN: Stain Style Transfer for Digital Histological Images
https://github.com/xu1998hz/ssl_kba_expert_layman_style_transfer
공식 코드Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer
https://github.com/xuekai-zhu/storytrans_public
공식 코드https://github.com/xuesong39/dac
공식 코드Doubly Abductive Counterfactual Inference for Text-based Image Editing
https://github.com/xunhuang1995/AdaIN-style
공식 코드Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/xuqiongkai/ALTER
공식 코드ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation
https://github.com/xuzhez/mapseg
공식 코드https://github.com/xxxinhong/detoxification_llm
공식 코드https://github.com/yangxy/pasd
공식 코드Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
https://github.com/yangxy/sdl
공식 코드https://github.com/yanyangbaobeiisemma/chinsepaintingstyletransfer
공식 코드Chinese Painting Style Transfer Using Deep Generative Models
https://github.com/yasserben/datum
공식 코드One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
https://github.com/yaxingwang/Mix-and-match-networks
공식 코드Mix and match networks: encoder-decoder alignment for zero-pair image translation
https://github.com/yazdaniamir38/Depth-guided-Image-Relighting
공식 코드https://github.com/ybzh/efdm
공식 코드Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
https://github.com/ycjing/Neural-Style-Transfer-Papers
공식 코드https://github.com/yeungchenwa/fontdiffuser
공식 코드https://github.com/yhsong98/ct-us-i2i-translation
공식 코드https://github.com/yingutk/NL-MAT
공식 코드Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization
https://github.com/yisuanwang/soulstyler
공식 코드Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object
https://github.com/yixinL7/Direct-Style-Transfer
공식 코드https://github.com/yongqyu/TCN
공식 코드https://github.com/yoonkim/neural-qcfg
공식 코드https://github.com/youseob/pin
공식 코드Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
https://github.com/yuanyuan-yuan/gcert
공식 코드Precise and Generalized Robustness Certification for Neural Networks
https://github.com/yunjinli/SADG-SegmentAnyDynamicGaussian
공식 코드https://github.com/yzxing87/pytorch-deep-video-prior
공식 코드https://github.com/zacharyhorvitz/ParaGuide
공식 코드ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
https://github.com/zacharyhorvitz/tinystyler
공식 코드TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
https://github.com/zalandoresearch/famos
공식 코드Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization
https://github.com/zeconloss/zecon
공식 코드Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
https://github.com/zhanghang1989/PyTorch-Multi-Style-Transfer
공식 코드https://github.com/zhangqianhui/SGGAN-tensorflow
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
https://github.com/zhangqianhui/Sparsely-Grouped-GAN
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
https://github.com/zhangzc21/generalized-one-shot-gan-adaptation
공식 코드Generalized One-shot Domain Adaptation of Generative Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.