https://github.com/endywon/microast
공식 코드MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
Human-Guided Fair Classification for Natural Language Processing
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
VAE based Text Style Transfer with Pivot Words Enhancement Learning
Bridging Unpaired Facial Photos And Sketches By Line-drawings
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models
WAIT: Feature Warping for Animation to Illustration video Translation using GANs
Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs
Investigating Societal Biases in a Poetry Composition System
Diversify Question Generation with Retrieval-Augmented Style Transfer
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator
CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal Diffusion
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.