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Drawing Pictures

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/nchinaev/MobileFace

공식 코드

MobileFace: 3D Face Reconstruction with Efficient CNN Regression

https://github.com/neuralchen/ASMAGAN

공식 코드

Anisotropic Stroke Control for Multiple Artists Style Transfer

https://github.com/neuroethology/TREBA

공식 코드

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions

https://github.com/newbeeer/orthogonal_classifier

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Controlling Directions Orthogonal to a Classifier

https://github.com/nightldj/behance_release

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Learning from Multi-domain Artistic Images for Arbitrary Style Transfer

https://github.com/ninatu/in_style

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In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval

https://github.com/ninikolov/lha

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Large-scale Hierarchical Alignment for Data-driven Text Rewriting

https://github.com/nipdep/STGAN

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Neural Artistic Style Transfer with Conditional Adversaria

https://github.com/njuhuojing/mast

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Manifold Alignment for Semantically Aligned Style Transfer

https://github.com/nkolkin13/STROTSS

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Style Transfer by Relaxed Optimal Transport and Self-Similarity

https://github.com/nkolkin13/neuralneighborstyletransfer

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Neural Neighbor Style Transfer

https://github.com/nktoan/causal-inference-via-style-transfer-for-ood-generalisation

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Causal Inference via Style Transfer for Out-of-distribution Generalisation

https://github.com/noabrazilay/missgan

공식 코드

MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation

https://github.com/odegeasslbc/Self-Supervised-Sketch-to-Image-Synthesis-PyTorch

공식 코드

Self-Supervised Sketch-to-Image Synthesis

https://github.com/olawod/freevc

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Improving Data Augmentation-based Cross-Speaker Style Transfer for TTS with Singing Voice, Style Filtering, and F0 Matching

https://github.com/oldbirdaz/mssrnet_style_transfer

공식 코드

MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer

https://github.com/omerbt/Splice

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Splicing ViT Features for Semantic Appearance Transfer

https://github.com/omnai-lab/implicit-inversion

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Implicit Inversion turns CLIP into a Decoder

https://github.com/onkarsus13/d2styler

공식 코드

D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods

https://github.com/open-mmlab/StyleShot

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StyleShot: A Snapshot on Any Style

https://github.com/oppo-mente-lab/tlcm

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TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps

https://github.com/optml-group/unlearncanvas

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UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models

https://github.com/orpatashnik/BalaGAN

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BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

https://github.com/ostadabbas/SPAC-Net-Synthetic-Pose-aware-Animal-ControlNet

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SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation

https://github.com/ostadabbas/prior-aware-synthetic-data-generation-pasyn-

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Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data

https://github.com/paloha/faket

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FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer

https://github.com/paloha/redistributor

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Redistributor: Transforming Empirical Data Distributions

https://github.com/panlingua/multilingual-tst-datasets

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Multilingual Text Style Transfer: Datasets & Models for Indian Languages

https://github.com/paper11667/clipstyler

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CLIPstyler: Image Style Transfer with a Single Text Condition

https://github.com/passeul/style-transfer-model-evaluation

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Evaluating Style Transfer for Text

https://github.com/peiwang062/swag

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Rethinking and Improving the Robustness of Image Style Transfer

https://github.com/phflot/tfake

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T-FAKE: Synthesizing Thermal Images for Facial Landmarking

https://github.com/phoenix104104/fast_blind_video_consistency

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Learning Blind Video Temporal Consistency

https://github.com/pkuanjie/ArtFlow

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ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows

https://github.com/pl23k/icehrnet

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An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy

https://github.com/poonpura/DPAgg-TI

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Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings

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