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https://github.com/lzhbrian/image-to-image-papers
🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
https://github.com/lzhbrian/image-to-image-papers
code computer-vision curated-list gan generative-adversarial-network image-manipulation image-to-image image-to-image-translation image-translation papers
Last synced: about 2 months ago
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🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
- Host: GitHub
- URL: https://github.com/lzhbrian/image-to-image-papers
- Owner: lzhbrian
- License: mit
- Created: 2018-09-06T14:39:18.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-03-20T16:05:56.000Z (about 4 years ago)
- Last Synced: 2024-04-18T20:10:01.129Z (about 2 months ago)
- Topics: code, computer-vision, curated-list, gan, generative-adversarial-network, image-manipulation, image-to-image, image-to-image-translation, image-translation, papers
- Homepage:
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- Watchers: 48
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- Open Issues: 4
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Image-to-Image papers
A collection of image-to-image papers.
Papers are ordered in arXiv first version submitting time (if applicable).
Feel free to send a PR or issue.
__TOC__
- [Supervised](#supervised)
- [Unsupervised](#unsupervised)
- [Unsupervised - General](#unsupervised---general)
- [Unsupervised - Attention/Instance guided](#unsupervised---attentioninstance-guided)
- [Unsupervised - Many-to-many (Attributes)](#unsupervised---many-to-many-attributes)
- [Unsupervised - Disentangled (and/or Exemplar guided)](#unsupervised---disentangled-andor-exemplar-guided)
- [To be classified](#to-be-classified)
## Supervised
| Note | Model | Paper | Conference | paper link | code link |
| --------------- | ----------------------------------------- | ------------------------------------------------------------ | ---------- | ---------------------------------------------- | ------------------------------------------------------------ |
| | pix2pix | Image-to-Image Translation with Conditional Adversarial Networks | CVPR 2017 | [1611.07004](https://arxiv.org/abs/1611.07004) | [junyanz/pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) |
| texture guided | TextureGAN | TextureGAN: Controlling Deep Image Synthesis with Texture Patches | CVPR 2018 | [1706.02823](https://arxiv.org/abs/1706.02823) | [janesjanes/Pytorch-TextureGAN](https://github.com/janesjanes/Pytorch-TextureGAN) |
| | Contextual GAN | Image Generation from Sketch Constraint Using Contextual GAN | ECCV 2018 | [1711.08972](https://arxiv.org/abs/1711.08972) | |
| | pix2pix-HD | High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs | CVPR 2018 | [1711.11585](https://arxiv.org/abs/1711.11585) | [NVIDIA/pix2pixHD](https://github.com/NVIDIA/pix2pixHD) |
| one-to-many | BicycleGAN | Toward Multimodal Image-to-Image Translation | NIPS 2017 | [1711.11586](https://arxiv.org/abs/1711.11586) | [junyanz/BicycleGAN](https://github.com/junyanz/BicycleGAN) |
| keypoint guided | G2-GAN | Geometry Guided Adversarial Facial Expression Synthesis | MM 2018 | [1712.03474](https://arxiv.org/abs/1712.03474) | |
| | contour2im | Smart, Sparse Contours to Represent and Edit Images | CVPR 2018 | [1712.08232](https://arxiv.org/abs/1712.08232) | [website](https://contour2im.github.io/) |
| disentangle | Cross-domain disentanglement networks | Image-to-image translation for cross-domain disentanglement | NIPS 2018 | [1805.09730](https://arxiv.org/abs/1805.09730) | |
| gesture | GestureGAN | GestureGAN for Hand Gesture-to-Gesture Translation in the Wild | MM 2018 | [1808.04859](https://arxiv.org/abs/1808.04859) | [Ha0Tang/GestureGAN](https://github.com/Ha0Tang/GestureGAN) |
| video | vid2vid | Video-to-Video Synthesis | NIPS 2018 | [1808.06601](https://arxiv.org/abs/1808.06601) | [NVIDIA/vid2vid](https://github.com/NVIDIA/vid2vid) |
| video | pix2pix-HD + Temporal Smoothing + faceGAN | Everybody Dance Now | ECCVW 2018 | [1808.07371](https://arxiv.org/abs/1808.07371) | [website](https://carolineec.github.io/everybody_dance_now/) |
| (un)supervised | MSGAN | Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis | CVPR 2019 | [1903.05628](https://arxiv.org/abs/1903.05628) | [HelenMao/MSGAN](https://github.com/HelenMao/MSGAN) |
| semantic to image | SPADE | Semantic Image Synthesis with Spatially-Adaptive Normalization | CVPR 2019 | [1903.07291](https://arxiv.org/abs/1903.07291) | [NVlabs/SPADE](https://github.com/NVlabs/SPADE) |
| Edge and color domain to reconstrcut image | PI-REC | PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain | | [1903.10146](https://arxiv.org/abs/1903.10146) | [youyuge34/PI-REC](https://github.com/youyuge34/PI-REC) |
| Cross-view image translation | SelectionGAN | Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation | CVPR 2019 | [1904.06807](https://arxiv.org/abs/1904.06807) | [Ha0Tang/SelectionGAN](https://github.com/Ha0Tang/SelectionGAN) |
| keypoint guided | C2-GAN | Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation | MM 2019 | [1908.00999](https://arxiv.org/abs/1908.00999) | |
| Few shot, video | Few-shot vid2vid | Few-shot Video-to-Video Synthesis | NeurIPS 2019 | [1910.12713](https://arxiv.org/abs/1910.12713) | [NVlabs/few-shot-vid2vid](https://github.com/NVlabs/few-shot-vid2vid) |
## Unsupervised
### Unsupervised - General
| Note | Model | Paper | Conference | paper link | code link |
| ----------------------------------- | ------------ | ------------------------------------------------------------ | ---------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
| | DTN | Unsupervised Cross-Domain Image Generation | ICLR 2017 | [1611.02200](https://arxiv.org/abs/1611.02200) | [yunjey/domain-transfer-network (unofficial)](https://github.com/yunjey/domain-transfer-network) |
| | UNIT | Unsupervised image-to-image translation networks | NIPS 2017 | [1703.00848](https://arxiv.org/abs/1703.00848) | [mingyuliutw/UNIT](https://github.com/mingyuliutw/UNIT) |
| | DiscoGAN | Learning to Discover Cross-Domain Relations with Generative Adversarial Networks | ICML 2017 | [1703.05192](https://arxiv.org/abs/1703.05192) | [SKTBrain/DiscoGAN](https://github.com/SKTBrain/DiscoGAN) |
| | CycleGAN | Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks | ICCV 2017 | [1703.10593](https://arxiv.org/abs/1703.10593) | [junyanz/pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) |
| | DualGAN | DualGAN: Unsupervised Dual Learning for Image-to-Image Translation | ICCV 2017 | [1704.02510](https://arxiv.org/abs/1704.02510) | [duxingren14/DualGAN](https://github.com/duxingren14/DualGAN) |
| | DistanceGAN | One-Sided Unsupervised Domain Mapping | NIPS 2017 | [1706.00826](https://arxiv.org/abs/1706.00826) | [sagiebenaim/DistanceGAN](https://github.com/sagiebenaim/DistanceGAN) |
| | SisGAN | SisGAN: Semantic Image Synthesis via Adversarial Learning | ICCV 2017 | [1707.06873](https://arxiv.org/abs/1707.06873) | [woozzu/dong_iccv_2017](https://github.com/woozzu/dong_iccv_2017) |
| semi supervised | Triangle GAN | Triangle Generative Adversarial Networks | NIPS 2017 | [1709.06548](https://arxiv.org/abs/1709.06548) | [LiqunChen0606/Triangle-GAN](https://github.com/LiqunChen0606/Triangle-GAN) |
| | CartoonGAN | CartoonGAN: Generative Adversarial Networks for Photo Cartoonization | CVPR 2018 | [thecvf](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_CartoonGAN_Generative_Adversarial_CVPR_2018_paper.pdf) | [FlyingGoblin/CartoonGAN](https://github.com/FlyingGoblin/CartoonGAN), [unofficial test](https://github.com/Yijunmaverick/CartoonGAN-Test-Pytorch-Torch), [unofficial pytorch](https://github.com/znxlwm/pytorch-CartoonGAN) |
| non-adversarial | NAM | NAM: Non-Adversarial Unsupervised Domain Mapping | ECCV 2018 | [1806.00804](https://arxiv.org/abs/1806.00804) | [facebookresearch/nam](https://github.com/facebookresearch/nam) |
| | SCAN | Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks | ECCV 2018 | [1807.08536](https://arxiv.org/abs/1807.08536) | |
| dilated conv, improve shape deform. | GANimorph | Improved Shape Deformation in Unsupervised Image to Image Translation | ECCV 2018 | [1808.04325](https://arxiv.org/abs/1808.04325) | [brownvc/ganimorph](https://github.com/brownvc/ganimorph/) |
| video | Recycle-GAN | Recycle-GAN: Unsupervised Video Retargeting | ECCV 2018 | [1808.05174](https://arxiv.org/abs/1808.05174) | [aayushbansal/Recycle-GAN](https://github.com/aayushbansal/Recycle-GAN) |
| | OT-CycleGAN | Guiding the One-to-one Mapping in CycleGAN via Optimal Transport | AAAI 2019 | [1811.06284](https://arxiv.org/abs/1811.06284) | |
| | Art2Real | Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation | CVPR 2019 | [1811.10666](https://arxiv.org/abs/1811.10666) | [aimagelab/art2real](https://github.com/aimagelab/art2real) |
| latent cross-consistency | CrossNet | CrossNet: Latent Cross-Consistency for Unpaired Image Translation | WACV 2020 | [1901.04530](https://arxiv.org/abs/1901.04530) | |
| | HarmonicGAN | Harmonic Unpaired Image-to-image Translation | ICLR 2019 | [1902.09727](https://arxiv.org/abs/1902.09727) | |
| Person Generation | DG-Net | Joint Discriminative and Generative Learning for Person Re-identification | CVPR 2019 | [1904.07223](https://arxiv.org/abs/1904.07223) | [NVlabs/DG-Net](https://github.com/NVlabs/DG-Net) |
| | TransGaGa | TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation | CVPR 2019 | [1904.09571](https://arxiv.org/abs/1904.09571) | [project](https://wywu.github.io/projects/TGaGa/TGaGa.html) |
| | AGUIT | Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning | | [1904.12428](https://arxiv.org/abs/1904.12428) | [imlixinyang/AGUIT](https://github.com/imlixinyang/AGUIT) |
| few shot | FUNIT | Few-Shot Unsupervised Image-to-Image Translation | ICCV 2019 | [1905.01723](https://arxiv.org/abs/1905.01723) | [project](https://nvlabs.github.io/FUNIT), [nvlabs/FUNIT](https://github.com/nvlabs/FUNIT/) |
| zero shot | ZstGAN | ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation | | [1906.00184](https://arxiv.org/abs/1906.00184) | [linjx-ustc1106/ZstGAN-PyTorch](https://github.com/linjx-ustc1106/ZstGAN-PyTorch) |
| | | Cross-Domain Cascaded Deep Feature Translation | | [1906.01526](https://arxiv.org/abs/1906.01526) | |
| | | Breaking the cycle -- Colleagues are all you need. | | [1911.10538](https://arxiv.org/abs/1911.10538) | |
### Unsupervised - Attention/Instance guided
| Note | Model | Paper | Conference | paper link | code link |
| --------------------- | -------------------- | ------------------------------------------------------------ | ---------- | ------------------------------------------------------ | ------------------------------------------------------------ |
| mask | ContrastGAN | Generative Semantic Manipulation with Mask-Contrasting GAN | ECCV 2018 | [1708.00315](https://arxiv.org/abs/1708.00315) | |
| attention | DA-GAN | DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks | CVPR 2018 | [1802.06454](https://arxiv.org/abs/1802.06454) | |
| mask / attention | Attention-GAN | Attention-GAN for Object Transfiguration in Wild Images | ECCV 2018 | [1803.06798](https://arxiv.org/abs/1803.06798) | |
| attention | Attention guided GAN | Unsupervised Attention-guided Image to Image Translation | NIPS 2018 | [1806.02311](https://arxiv.org/abs/1806.02311) | [AlamiMejjati/Unsupervised-Attention-guided-Image-to-Image-Translation](https://github.com/AlamiMejjati/Unsupervised-Attention-guided-Image-to-Image-Translation) |
| attention, one-sided | | Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention | TIP 2019 | [1806.06195](https://arxiv.org/abs/1806.06195) | |
| instance aware - mask | InstaGAN | Instance-aware image-to-image translation | ICLR 2019 | [openreview](https://openreview.net/pdf?id=ryxwJhC9YX) | [sangwoomo/instagan](https://github.com/sangwoomo/instagan) |
| | AttentionGAN | Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation | IJCNN 2019 | [1903.12296](https://arxiv.org/abs/1903.12296) | [Ha0Tang/AttentionGAN](https://github.com/Ha0Tang/AttentionGAN) |
| instance level - bbox | INIT | Towards Instance-level Image-to-Image Translation | CVPR 2019 | [1905.01744](https://arxiv.org/abs/1905.01744) | [project](http://zhiqiangshen.com/projects/INIT/index.html) |
| mask guided | | Mask-Guided Portrait Editing with Conditional GANs | CVPR 2019 | [1905.10346](https://arxiv.org/abs/1905.10346) | [cientgu/Mask_Guided_Portrait_Editing](https://github.com/cientgu/Mask_Guided_Portrait_Editing) |
| | U-GAT-IT | U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation | ICLR 2020 | [1907.10830](https://arxiv.org/abs/1907.10830) | [taki0112/UGATIT](https://github.com/taki0112/UGATIT), [znxlwm/UGATIT-pytorch](https://github.com/znxlwm/UGATIT-pytorch) |
### Unsupervised - Many-to-many (Attributes)
| Note | Model | Paper | Conference | paper link | code link |
| ------------------------ | ---------------------------- | ------------------------------------------------------------ | ---------- | ---------------------------------------------- | ------------------------------------------------------------ |
| | IcGAN | Invertible Conditional GANs for image editing | NIPSW 2016 | [1611.06355](https://arxiv.org/abs/1611.06355) | [Guim3/IcGAN](https://github.com/Guim3/IcGAN) |
| | Conditional CycleGAN | Conditional CycleGAN for Attribute Guided Face Image Generation | ECCV 2018 | [1705.09966](https://arxiv.org/abs/1705.09966) | |
| | StarGAN | StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation | CVPR 2018 | [1711.09020](https://arxiv.org/abs/1711.09020) | [yunjey/StarGAN](https://github.com/yunjey/StarGAN) |
| | AttGAN | AttGAN: Facial Attribute Editing by Only Changing What You Want | TIP 2019 | [1711.10678](https://arxiv.org/abs/1711.10678) | [LynnHo/AttGAN-Tensorflow](https://github.com/LynnHo/AttGAN-Tensorflow) |
| | ComboGAN | ComboGAN: Unrestrained Scalability for Image Domain Translation | CVPRW 2018 | [1712.06909](https://arxiv.org/abs/1712.06909) | [AAnoosheh/ComboGAN](https://github.com/AAnoosheh/ComboGAN) |
| | AugCGAN (Augmented CycleGAN) | Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data | ICML 2018 | [1802.10151](https://arxiv.org/abs/1802.10151) | [aalmah/augmented_cyclegan](https://github.com/aalmah/augmented_cyclegan) |
| | ModularGAN | Modular Generative Adversarial Networks | ECCV 2018 | [1804.03343](https://arxiv.org/abs/1804.03343) | |
| sparsely grouped dataset | SG-GAN | Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation | MM 2018 | [1805.07509](https://arxiv.org/abs/1805.07509) | [zhangqianhui/Sparsely-Grouped-GAN](https://github.com/zhangqianhui/Sparsely-Grouped-GAN) |
| | GANimation | GANimation: Anatomically-aware Facial Animation from a Single Image | ECCV 2018 | [1807.09251](https://arxiv.org/abs/1807.09251) | [albertpumarola/GANimation](https://github.com/albertpumarola/GANimation) |
| | SingleGAN | SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning | ACCV 2018 | [1810.04991](https://arxiv.org/abs/1810.04991) | [Xiaoming-Yu/SingleGAN](https://github.com/Xiaoming-Yu/SingleGAN) |
| | SMIT | SMIT: Stochastic Multi-Label Image-to-Image Translation | ICCVW 2019 | [1812.03704](https://arxiv.org/abs/1812.03704) | [BCV-Uniandes/SMIT](https://github.com/BCV-Uniandes/SMIT) |
| | InjectionGAN | Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation | | [1905.08766](https://arxiv.org/abs/1905.08766) | |
| | | Image-to-Image Translation with Multi-Path Consistency Regularization | IJCAI 2019 | [1905.12498](https://arxiv.org/abs/1905.12498) | |
| | RelGAN | RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes | ICCV 2019 | [1908.07269](https://arxiv.org/abs/1908.07269) | [elvisyjlin/RelGAN-PyTorch](https://github.com/elvisyjlin/RelGAN-PyTorch), [willylulu/RelGAN](https://github.com/willylulu/RelGAN) |
| | StarGAN v2 | StarGAN v2: Diverse Image Synthesis for Multiple Domains | CVPR 2020 | [1912.01865](https://arxiv.org/abs/1912.01865) | [clovaai/stargan-v2](https://github.com/clovaai/stargan-v2) |
### Unsupervised - Disentangled (and/or Exemplar guided)
| Note | Model | Paper | Conference | paper link | code link |
| ----------------------------------- | ---------------------------- | ------------------------------------------------------------ | ---------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
| | XGAN | XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings | ICML 2018 | [1711.05139](https://arxiv.org/abs/1711.05139) | [dataset](https://google.github.io/cartoonset/) |
| | ELEGANT | ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes | ECCV 2018 | [1803.10562](https://arxiv.org/abs/1803.10562) | [Prinsphield/ELEGANT](https://github.com/Prinsphield/ELEGANT) |
| | MUNIT | Multimodal Unsupervised Image-to-Image Translation | ECCV 2018 | [1804.04732](https://arxiv.org/abs/1804.04732) | [NVlabs/MUNIT](https://github.com/NVlabs/MUNIT) |
| | cd-GAN (Conditional DualGAN) | Conditional Image-to-Image Translation | CVPR 2018 | [1805.00251](https://arxiv.org/abs/1805.00251) | |
| | EG-UNIT | Exemplar Guided Unsupervised Image-to-Image Translation | ICLR 2019 | [1805.11145](https://arxiv.org/abs/1805.11145) | |
| | PairedCycleGAN | PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup | CVPR 2018 | [thecvf](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chang_PairedCycleGAN_Asymmetric_Style_CVPR_2018_paper.pdf) | |
| | DRIT | Diverse Image-to-Image Translation via Disentangled Representations | ECCV 2018 | [1808.00948](https://arxiv.org/abs/1808.00948) | [HsinYingLee/DRIT](https://github.com/HsinYingLee/DRIT) |
| | UFDN | A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation | NIPS 2018 | [1809.01361](https://arxiv.org/abs/1809.01361) | [Alexander-H-Liu/UFDN](https://github.com/Alexander-H-Liu/UFDN) |
| non-disentangle, face makeup guided | BeautyGAN | BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network | MM 2018 | [author](https://liusi-group.com/pdf/BeautyGAN-camera-ready.pdf) | [wtjiang98/BeautyGAN_pytorch](https://github.com/wtjiang98/BeautyGAN_pytorch) |
| | GDWCT | Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation | CVPR 2019 | [1812.09912](https://arxiv.org/abs/1812.09912) | [WonwoongCho/GDWCT](https://github.com/WonwoongCho/GDWCT) |
| | DRIT++ | DRIT++: Diverse Image-to-Image Translation via Disentangled Representations | IJCV 2020 | [1905.01270](https://arxiv.org/abs/1905.01270) | [project](http://vllab.ucmerced.edu/hylee/DRIT_pp/), [HsinYingLee/MDMM](https://github.com/HsinYingLee/MDMM) |
| | HiDT | High-Resolution Daytime Translation Without Domain Labels | CVPR 2020 | [2003.08791](https://arxiv.org/abs/2003.08791) | [project](https://saic-mdal.github.io/HiDT/), [saic-mdal/HiDT](https://github.com/saic-mdal/HiDT) |
## To be classified
* EDIT: Exemplar-Domain Aware Image-to-Image Translation. https://arxiv.org/abs/1911.10520
* Multi-mapping Image-to-Image Translation via Learning Disentanglement. https://arxiv.org/abs/1909.07877. NeurIPS 2019. https://github.com/Xiaoming-Yu/DMIT
* GANHOPPER: Multi-Hop GAN for Unsupervised Image-to-Image Translation. https://arxiv.org/abs/2002.10102
* GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling. https://arxiv.org/abs/2003.06788.