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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/weifeng-chen/control-a-video
공식 코드https://github.com/weihaox/TediGAN
공식 코드TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
https://github.com/wenlai-lavine/sneuron-tst
공식 코드Style-Specific Neurons for Steering LLMs in Text Style Transfer
https://github.com/whatissimondoing/his-dialog
공식 코드Mitigating Negative Style Transfer in Hybrid Dialogue System
https://github.com/williamyang1991/DualStyleGAN
공식 코드Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
https://github.com/williamyang1991/vtoonify
공식 코드VToonify: Controllable High-Resolution Portrait Video Style Transfer
https://github.com/wltjr1007/FDEN
공식 코드A Plug-in Method for Representation Factorization in Connectionist Models
https://github.com/wonjune-kang/lvc-vc
공식 코드End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions
https://github.com/wrk226/2d-to-3d-evolution-transfer
공식 코드Creative Birds: Self-Supervised Single-View 3D Style Transfer
https://github.com/wrk226/creative_birds
공식 코드Creative Birds: Self-Supervised Single-View 3D Style Transfer
https://github.com/wtjiang98/PSGAN
공식 코드PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal
https://github.com/wyu-du/gp-vae
공식 코드Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
https://github.com/wzmsltw/adaattn
공식 코드AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
https://github.com/wzmsltw/painttransformer
공식 코드Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
https://github.com/xdxie/WAS_WordArt-Segmentation
공식 코드https://github.com/xianggao1102/learning-to-incorporate-texture-saliency-adaptive-attention-to-image-cartoonization
공식 코드Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
https://github.com/xiaoachen98/DDB
공식 코드Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
https://github.com/xiaofei05/tsst
공식 코드https://github.com/xingy038/conrf
공식 코드ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields
https://github.com/xrenaa/Retriever
공식 코드Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
https://github.com/xsimba123/demos-of-csf-sa
공식 코드Towards Using Clothes Style Transfer for Scenario-aware Person Video Generation
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 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.