https://bitbucket.org/leoeaton/quase
공식 코드QuaSE: Accurate Text Style Transfer under Quantifiable Guidance
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://bitbucket.org/st157585/emotion_transfer
공식 코드Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline
https://github.com/41enthusiast/ST-SACLF-ver1.1
공식 코드ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
https://github.com/41enthusiast/st-saclf
공식 코드Tackling Data Bias in Painting Classification with Style Transfer
https://github.com/51616/split-vae
공식 코드https://github.com/AAnoosheh/ToDayGAN
공식 코드Night-to-Day Image Translation for Retrieval-based Localization
https://github.com/Aaditya-Singh/SAFIN
공식 코드SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization
https://github.com/AaronZ345/StyleSinger
공식 코드StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
https://github.com/AaronZ345/TCSinger
공식 코드TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
https://github.com/AceSix/Knowledge_Transfer
공식 코드https://github.com/Apogentus/style-transfer-with-strength-control
공식 코드https://github.com/Ardibid/ArtisticStyleRoboticPainting
공식 코드https://github.com/ArturoDeza/NeuroFovea
공식 코드https://github.com/AtlantixJJ/frame-difference-loss
공식 코드https://github.com/Au3C2/Generator-Versus-Segmentor
공식 코드https://github.com/BorealisAI/CP-VAE
공식 코드On Variational Learning of Controllable Representations for Text without Supervision
https://github.com/CAMERA-MRI/SPARK2023/tree/main/SPARK_BTS_KIFARU
공식 코드https://github.com/CQFIO/FastImageProcessing
공식 코드https://github.com/CXH-Research/FilmNet
공식 코드A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
https://github.com/CatherineWong/dreamcoder
공식 코드DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
https://github.com/ChenyangLEI/deep-video-prior
공식 코드https://github.com/Chenzhaowei13/Light-Condition-Style-Transfer
공식 코드https://github.com/Chernobyllight/SaMST
공식 코드Pluggable Style Representation Learning for Multi-Style Transfer
https://github.com/Chernobyllight/SaMam
공식 코드SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer
https://github.com/CompVis/brushstroke-parameterized-style-transfer
공식 코드Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
https://github.com/D1noFuzi/cmd_styletransfer
공식 코드In the light of feature distributions: moment matching for Neural Style Transfer
https://github.com/DK-Jang/motion_puzzle
공식 코드https://github.com/DandilionLau/Selfie-Friendly-Abstraction
공식 코드Learning Selfie-Friendly Abstraction from Artistic Style Images
https://github.com/DengPingFan/FS2K
공식 코드https://github.com/DengPingFan/FaceSketch-Awesome-List
공식 코드https://github.com/DianaNerualNetwork/StainPromptInversion
공식 코드Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion
https://github.com/DmitryUlyanov/texture_nets
공식 코드Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/ETHRuiGong/DLOW
공식 코드https://github.com/Elbria/ST-human-review
공식 코드https://github.com/Elbria/xformal-FoST
공식 코드XFORMAL: A Benchmark for Multilingual Formality Style Transfer
https://github.com/EndyWon/Deep-Feature-Perturbation
공식 코드Diversified Arbitrary Style Transfer via Deep Feature Perturbation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.