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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

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

https://github.com/coby1729/neural_style

A Neural Algorithm of Artistic Style

https://github.com/code-implementation1/Code2/tree/main/ArbitraryStyleTransfer

Exploring the structure of a real-time, arbitrary neural artistic stylization network

https://github.com/code-implementation1/Code8/tree/main/SinGAN

SinGAN-Seg: Synthetic training data generation for medical image segmentation

https://github.com/colemiller94/gatedgan

Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer

https://github.com/cristinecosta/CompVis

A Style-Aware Content Loss for Real-time HD Style Transfer

https://github.com/cryu854/ArbitraryStyle-tfjs

A Neural Algorithm of Artistic Style

https://github.com/cryu854/FastStyle

A Neural Algorithm of Artistic Style

https://github.com/cryu854/SinGAN

Instance Normalization: The Missing Ingredient for Fast Stylization

https://github.com/cvfx-2019/homework1-color-transfer

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/cvp19g2/cvp19g2

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/cydessole/AnimeLife

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/cynicaldevil/neural-style-transfer

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/cysmith/neural-style-tf

A Neural Algorithm of Artistic Style

https://github.com/daintlab/ct-denoising

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/damo-vilab/videocomposer

Composer: Creative and Controllable Image Synthesis with Composable Conditions

https://github.com/dantecomedia/CycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/dasayan05/sketchanet-quickdraw

Sketch-a-Net that Beats Humans

https://github.com/daspartho/magicmix

MagicMix: Semantic Mixing with Diffusion Models

https://github.com/davidgolub/charizard

Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

https://github.com/ddcas/p2gan-pytorch

P$^2$-GAN: Efficient Style Transfer Using Single Style Image

https://github.com/deciding/StarGAN-VC

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

https://github.com/dectrfov/NTIRE-2021-Depth-Guided-Image-Any-to-Any-relighting

NTIRE 2021 Depth Guided Image Relighting Challenge

https://github.com/dedekinds/The-Color-Transfer-of-Animes-Characters-Images

Deep Photo Style Transfer

https://github.com/deepBear6/StyleTransfer

A Neural Algorithm of Artistic Style

https://github.com/deepdeepdot/FastPhotoStyle

A Closed-form Solution to Photorealistic Image Stylization

https://github.com/deepeshdm/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/demegire/Parameterization-of-Hypercomplex-Multiplications

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters

https://github.com/deterministic-algorithms-lab/Speech-Explorations

Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens

https://github.com/devAmoghS/Keras-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/dgedon/CycleGAN-for-Emojis

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/dhassault/cyclegan_pytorch

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/dhruv-arcot/Style_transfer

A Neural Algorithm of Artistic Style

https://github.com/divisionai/deep-photo-styletransfer

Deep Photo Style Transfer

https://github.com/divyanshu092/Photorealistic_Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/diyiiyiii/arbitrary-style-transfer-via-multi-adaptation-network

Arbitrary Style Transfer via Multi-Adaptation Network

https://github.com/dkoleber/multi_style_transfer

A Neural Algorithm of Artistic Style

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.