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https://github.com/martinduartemore/awesome-text-based-image-manipulation
A curated list of text-based image manipulation methods.
https://github.com/martinduartemore/awesome-text-based-image-manipulation
List: awesome-text-based-image-manipulation
awesome awesome-list image-editing image-manipulation language-based-image-editing language-based-image-manipulation text-based-image-editing text-based-image-manipulation text-driven-editing text-driven-image-editing text-driven-image-manipulation text-driven-manipulation text-guided-image-editing text-guided-image-manipulation
Last synced: 3 months ago
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A curated list of text-based image manipulation methods.
- Host: GitHub
- URL: https://github.com/martinduartemore/awesome-text-based-image-manipulation
- Owner: martinduartemore
- License: cc0-1.0
- Created: 2020-08-19T21:00:27.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2023-02-05T18:36:08.000Z (over 1 year ago)
- Last Synced: 2024-05-23T07:08:26.654Z (5 months ago)
- Topics: awesome, awesome-list, image-editing, image-manipulation, language-based-image-editing, language-based-image-manipulation, text-based-image-editing, text-based-image-manipulation, text-driven-editing, text-driven-image-editing, text-driven-image-manipulation, text-driven-manipulation, text-guided-image-editing, text-guided-image-manipulation
- Language: Python
- Homepage:
- Size: 94.7 KB
- Stars: 70
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- ultimate-awesome - awesome-text-based-image-manipulation - A curated list of text-based image manipulation methods. (Other Lists / PowerShell Lists)
README
# awesome-text-based-image-manipulation [](https://awesome.re)
A curated list of text-based image manipulation methods
[](./LICENSE)
## Table of Contents
* [Datasets](#datasets)
* [Papers](#papers)
* [Contributing](#contributing)
## Datasets
|Name|Links|
|:---:|:---:|
|102 Category Flower|[Images](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html)
[Captions](https://github.com/reedscot/icml2016)|
|Caltech-UCSD Birds-200-2011|[Images](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html)
[Captions](https://github.com/reedscot/icml2016)|
|CoDraw|[Data](https://github.com/facebookresearch/CoDraw)|
|DeepFashion|[Images](http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion/FashionSynthesis.html)
[Captions](http://mmlab.ie.cuhk.edu.hk/projects/FashionGAN)|
|i-CLEVR|[Data](https://www.microsoft.com/en-us/research/project/generative-neural-visual-artist-geneva/)|
|Multi-Modal-CelebA-HQ|[Data](https://github.com/IIGROUP/Multi-Modal-CelebA-HQ-Dataset)|
## Papers
Note on the date column: if a paper was published on a preprint venue (such as
arXiv) before being accepted at a conference, the date information will match
the first preprint release date.
|Date|Title|Venue|Citations|Paper|Code|
|:---:|:---:|:---:|:---:|:---:|:---:|
|2023/01|Muse: Text-To-Image Generation via Masked Generative Transformers|-|N/A|[arXiv](https://arxiv.org/abs/2301.00704)
[Project Page](https://muse-model.github.io/)|[PyTorch](https://github.com/lucidrains/muse-maskgit-pytorch)
|
|2023/01|FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion|-|N/A|[arXiv](https://arxiv.org/abs/2301.02110)|-|
|2023/01|SEGA: Instructing Diffusion using Semantic Dimensions|-|N/A|[arXiv](https://arxiv.org/abs/2301.12247)|-|
|2022/12|CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics|AAAI|N/A|[arXiv](https://arxiv.org/abs/2212.02122)|[PyTorch (Official)](https://github.com/NetEase-GameAI/clipvg)
|
|2022/12|SINE: SINgle Image Editing with Text-to-Image Diffusion Models|-|N/A|[arXiv](https://arxiv.org/abs/2212.04489)|[PyTorch (Official)](https://github.com/zhang-zx/SINE)
|
|2022/12|The Stable Artist: Steering Semantics in Diffusion Latent Space|-|N/A|[arXiv](https://arxiv.org/abs/2212.06013)|-|
|2022/11|Null-text Inversion for Editing Real Images using Guided Diffusion Models|-|N/A|[arXiv](https://arxiv.org/abs/2211.09794)
[Official Page](https://null-text-inversion.github.io/)|[PyTorch (Official)](https://github.com/google/prompt-to-prompt/#null-text-inversion-for-editing-real-images)
|
|2022/11|InstructPix2Pix: Learning to Follow Image Editing Instructions|-|N/A|[arXiv](https://arxiv.org/abs/2211.09800)
[Official Page](https://www.timothybrooks.com/instruct-pix2pix)|[PyTorch (Official)](https://github.com/timothybrooks/instruct-pix2pix)
|
|2022/11|DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization|-|N/A|[arXiv](https://arxiv.org/abs/2211.10682)|-|
|2022/11|Interactive Image Manipulation with Complex Text Instructions|WACV|N/A|[arXiv](https://arxiv.org/abs/2211.15352)|-|
|2022/11|Target-Free Text-guided Image Manipulation|AAAI|N/A|[arXiv](https://arxiv.org/abs/2211.14544)|-|
|2022/11|Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models|-|N/A|[arXiv](https://arxiv.org/abs/2211.07825)|-|
|2022/11|Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation|-|N/A|[arXiv](https://arxiv.org/abs/2211.12572)
[Project Page](https://pnp-diffusion.github.io/)|-|
|2022/10|ManiCLIP: Multi-Attribute Face Manipulation from Text||N/A|[arXiv](https://arxiv.org/abs/2210.00445)|-|
|2022/10|Towards Open-Ended Text-to-Face Generation, Combination and Manipulation|ACMMM|N/A|[ACM](https://dl.acm.org/doi/abs/10.1145/3503161.3547758)|-|
|2022/10|CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Image Manipulation|-|N/A|[arXiv](https://arxiv.org/abs/2210.03919)|-|
|2022/10|One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulation|NeurIPS|N/A|[arXiv](https://arxiv.org/abs/2210.07883)|[- (Official)](https://github.com/KumapowerLIU/FFCLIP)
|
|2022/10|Imagic: Text-Based Real Image Editing with Diffusion Models|-|N/A|[arXiv](https://arxiv.org/abs/2210.09276)
[Official Page](https://imagic-editing.github.io/)|-|
|2022/10|Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction|ICIP|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9897900)|-|
|2022/10|LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models|BMVC|N/A|[arXiv](https://arxiv.org/abs/2210.02249)|-|
|2022/10|UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image|-|N/A|[arXiv](https://arxiv.org/abs/2210.09477)|[PyTorch](https://github.com/xuduo35/UniTune)
|
|2022/10|DiffEdit: Diffusion-based semantic image editing with mask guidance|-|N/A|[arXiv](https://arxiv.org/abs/2210.11427)|-|
|2022/10|Bridging CLIP and StyleGAN through Latent Alignment for Image Editing|-|N/A|[arXiv](https://arxiv.org/abs/2210.04506)|-|
|2022/09|Language-based Image Manipulation Built on Language-Guided Ranking|IEEE Transactions on Multimedia|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9893379)|-|
|2022/09|StyleGAN-based CLIP-guided Image Shape Manipulation|CBMI|N/A|[ACM](https://dl.acm.org/doi/abs/10.1145/3549555.3549556)|-|
|2022/08|Prompt-to-Prompt Image Editing with Cross Attention Control|-|N/A|[arXiv](https://arxiv.org/abs/2208.01626)
[Official Page](https://prompt-to-prompt.github.io/)|[PyTorch (Official)](https://github.com/google/prompt-to-prompt/)
|
|2022/08|DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation|-|N/A|[arXiv](https://arxiv.org/abs/2208.12242)
[Project Page](https://dreambooth.github.io/)|-|
|2022/07|Towards Counterfactual Image Manipulation via CLIP|ACMMM|N/A|[arXiv](https://arxiv.org/abs/2207.02812)|[PyTorch (Official)](https://github.com/yingchen001/CF-CLIP)
|
|2022/07|Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation |IJCAI|N/A|[IJCAI](https://www.ijcai.org/proceedings/2022/447)|-|
|2022/06|DE-Net: Dynamic Text-guided Image Editing Adversarial Networks|AAAI|N/A|[arXiv](https://arxiv.org/abs/2206.01160)|[PyTorch (Official)](https://github.com/tobran/DE-Net)
|
|2022/06|DE-Net: Dynamic Text-guided Image Editing Adversarial Networks|AAAI|N/A|[arXiv](https://arxiv.org/abs/2206.01160)|[PyTorch (Official)](https://github.com/tobran/DE-Net)
|
|2022/05|Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation|ICASSP|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9746970)|-|
|2022/04|Paired-D++ GAN for image manipulation with text|Machine Vision and Applications|N/A|[Springer](https://link.springer.com/article/10.1007/s00138-022-01298-7)|-|
|2022/04|ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation|CVPR|N/A|[arXiv](https://arxiv.org/abs/2204.04428)|[- (Official)](https://jawang19.github.io/manitrans/)
|
|2022/04|VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance|ECCV|N/A|[arXiv](https://arxiv.org/abs/2204.08583)|[PyTorch (Official)](https://github.com/EleutherAI/vqgan-clip)
|
|2022/04|Referring Object Manipulation of Natural Images with Conditional Classifier-free Guidance|ECCV|N/A|[ECVA](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136960619.pdf)|[PyTorch (Official)](https://github.com/google/referring-manipulation)
|
|2022/04|Text2LIVE: Text-Driven Layered Image and Video Editing|ECCV|N/A|[arXiv](https://arxiv.org/abs/2204.02491)|[PyTorch (Official)](https://github.com/omerbt/Text2LIVE)
|
|2022/03|FlexIT: Towards Flexible Semantic Image Translation|CVPR|N/A|[arXiv](https://arxiv.org/abs/2203.04705)|-|
|2022/03|EnvEdit: Environment Editing for Vision-and-Language Navigation|CVPR|N/A|[arXiv](https://arxiv.org/abs/2203.15685)|[PyTorch (Official)](https://github.com/jialuli-luka/EnvEdit)
|
|2022/03|AnyFace: Free-style Text-to-Face Synthesis and Manipulation|-|N/A|[arXiv](https://arxiv.org/abs/2203.15334)|-|
|2022/03|AnyFace: Free-style Text-to-Face Synthesis and Manipulation|CVPR|N/A|[arXiv](https://arxiv.org/abs/2203.15334)|-|
|2022/02|FEAT: Face Editing with Attention|-|N/A|[arXiv](https://arxiv.org/abs/2202.02713)|-|
|2022/02|Learning by Imagination: A Joint Framework for Text-based Image Manipulation and Change Captioning|IEEE Transactions on Multimedia|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9720958)|-|
|2022/02|Name Your Style: An Arbitrary Artist-aware Image Style Transfer|-|N/A|[arXiv](https://arxiv.org/abs/2202.13562)|-|
|2022/02|Interactive Image Generation with Natural-Language Feedback|AAAI|N/A|[AAAI](https://aaai-2022.virtualchair.net/poster_aaai7081)|-|
|2021/12|CLIPstyler: Image Style Transfer with a Single Text Condition|CVPR|N/A|[arXiv](https://arxiv.org/abs/2112.00374)|[PyTorch (Official)](https://github.com/cyclomon/CLIPstyler)
|
|2021/12|Embedding Arithmetic for Text-driven Image Transformation|-|N/A|[arXiv](https://arxiv.org/abs/2112.03162)|[PyTorch (Official)](https://github.com/facebookresearch/SIMAT)
|
|2021/12|CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields|CVPR|N/A|[arXiv](https://arxiv.org/abs/2112.05139)|[PyTorch (Official)](https://github.com/cassiePython/CLIPNeRF)
|
|2021/12|HairCLIP: Design Your Hair by Text and Reference Image|CVPR|N/A|[arXiv](https://arxiv.org/abs/2112.05142)|[PyTorch (Official)](https://github.com/wty-ustc/HairCLIP)
|
|2021/12|More Control for Free! Image Synthesis with Semantic Diffusion Guidance|-|N/A|[arXiv](https://arxiv.org/abs/2112.05744)|[- (Official)](https://xh-liu.github.io/sdg/)
|
|2021/12|StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation|WACV|N/A|[arXiv](https://arxiv.org/abs/2112.08493)|[PyTorch (Official)](https://github.com/catlab-team/stylemc)
|
|2021/12|GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models|-|N/A|[arXiv](https://arxiv.org/abs/2112.08493)|[PyTorch (Official)](https://github.com/openai/glide-text2im)
|
|2021/12|Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model|IEEE FG|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9666791)|-|
|2021/11|LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation|IEEE Access|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9620071)|[PyTorch (Official)](https://github.com/smatsumori/LatteGAN)
|
|2021/11|Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model|-|N/A|[arXiv](https://arxiv.org/abs/2111.13333)|-|
|2021/11|Blended Diffusion for Text-driven Editing of Natural Images|-|N/A|[arXiv](https://arxiv.org/abs/2111.14818)|[PyTorch (Official)](https://github.com/omriav/blended-diffusion)
|
|2021/11|SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing|CVPR|N/A|[arXiv](https://arxiv.org/abs/2112.00180)|-|
|2021/10|DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation|CVPR|N/A|[arXiv](https://arxiv.org/abs/2110.02711)|[PyTorch (Official)](https://github.com/gwang-kim/DiffusionCLIP)
|
|2021/10|Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism|ICCV|N/A|[CvF](https://openaccess.thecvf.com/content/ICCV2021/papers/Jiang_Language-Guided_Global_Image_Editing_via_Cross-Modal_Cyclic_Mechanism_ICCV_2021_paper.pdf)|-|
|2021/10|Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing|BMVC|N/A|[arXiv](https://arxiv.org/abs/2110.11159)|[(Official)](https://github.com/Zlq2021/CA-GAN)
|
|2021/09|Segmentation-Aware Text-Guided Image Manipulation|ICIP|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9506601)|-|
|2021/09|Talk-to-Edit: Fine-Grained Facial Editing via Dialog|ICCV|N/A|[arXiv](https://arxiv.org/abs/2109.04425)|[PyTorch (Official)](https://github.com/yumingj/Talk-to-Edit)
|
|2021/06|Text-Guided Human Image Manipulation via Image-Text Shared Space|IEEE TPAMI|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9444850)|-|
|2021/06|Grounded, Controllable and Debiased Image Completion with Lexical Semantics|CVPR (Causality in Vision Workshop)|N/A|[CvF](https://openaccess.thecvf.com/content/CVPR2021W/CiV/papers/Zhang_Grounded_Controllable_and_Debiased_Image_Completion_With_Lexical_Semantics_CVPRW_2021_paper.pdf)|-|
|2021/06|Learning by Planning: Language-Guided Global Image Editing|CVPR|N/A|[arXiv](https://arxiv.org/abs/2106.13156)|[PyTorch (Official)](https://github.com/jshi31/T2ONet)
|
|2021/03|StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery|ICCV|N/A|[arXiv](https://arxiv.org/abs/2103.17249)|[PyTorch (Official)](https://github.com/orpatashnik/StyleCLIP)
|
|2021/03|Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models|IEEE TPAMI|N/A|[IEEE](https://ieeexplore.ieee.org/abstract/document/9389731)|-|
|2021/02|Zero-Shot Text-to-Image Generation|-|N/A|[arXiv](https://arxiv.org/abs/2102.12092)|[PyTorch (Official)](https://github.com/openai/DALL-E)
|
|2020/12|TediGAN: Text-Guided Diverse Face Image Generation and Manipulation|CVPR|N/A|[arXiv](https://arxiv.org/abs/2012.03308)|[PyTorch (Official)](https://github.com/IIGROUP/TediGAN)
|
|2020/10|Learning Cross-Modal Representations for Language-Based Image Manipulation|ICIP|N/A|[ResearchGate](https://www.researchgate.net/publication/341984406)|-|
|2020/10|Text-Guided Image Inpainting|ACMMM|N/A|[ACM](https://dl.acm.org/doi/abs/10.1145/3394171.3413939)|-|
|2020/10|Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation|NeurIPS|N/A|[arXiv](https://arxiv.org/abs/2010.12136)|[(Official)](https://github.com/mrlibw/Lightweight-Manipulation)
|
|2020/10|A Benchmark and Baseline for Language-Driven Image Editing|ACCV|N/A|[arXiv](https://arxiv.org/abs/2010.02330)|[- (Official)](https://github.com/jshi31/LDIE_ACCV)
|
|2020/09|SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning|EMNLP|N/A|[arXiv](https://arxiv.org/abs/2009.09566)|[PyTorch (Official)](https://github.com/tsujuifu/pytorch_sscr)
|
|2020/08|Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach|ACMMM|N/A|[arXiv](https://arxiv.org/abs/2008.04200)|[PyTorch (Official)](https://github.com/yhlleo/DWC-GAN)
|
|2020/08|Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions|ECCV|N/A|[arXiv](https://arxiv.org/abs/2008.01576)|[PyTorch (Official)](https://github.com/xh-liu/Open-Edit)
|
|2020/08|Text as Neural Operator: Image Manipulation by Text Instruction|-|N/A|[arXiv](https://arxiv.org/abs/2008.04556)|-|
|2020/08|IR-GAN: Image Manipulation with Linguistic Instructionby Increment Reasoning|ACMMM|N/A|[ACM](https://dl.acm.org/doi/10.1145/3394171.3413777)|-|
|2020/06|Customizable GAN: A Method for Image Synthesis of Human Controllable|IEEE Access|N/A|[IEEE](https://ieeexplore.ieee.org/document/9112217)|-|
|2020/05|Scones: Towards Conversational Authoring of Sketches|IUI|N/A|[arXiv](https://arxiv.org/abs/2005.07781)|-|
|2020/04|Text-Guided Neural Image Inpainting|ACMMM|N/A|[arXiv](https://arxiv.org/abs/2004.03212)|[PyTorch (Official)](https://github.com/idealwhite/TDANet)
|
|2020/02|FACT: Fused Attention for Clothing Transfer with Generative Adversarial Networks|AAAI|N/A|[AAAI](https://aaai.org/ojs/index.php/AAAI/article/view/6987/6841)|-|
|2020/02|Grounded and Controllable Image Completion by Incorporating Lexical Semantics|-|N/A|[arXiv](https://arxiv.org/abs/2003.00303)|-|
|2020/02|Image-to-Image Translation with Text Guidance|-|N/A|[arXiv](https://arxiv.org/abs/2002.05235)|-|
|2020/01|Progressive Semantic Image Synthesis via Generative Adversarial Network|VCIP|N/A|[IEEE](https://ieeexplore.ieee.org/document/8966069)|-|
|2019/12|Image Manipulation with Natural Language using Two-sided Attentive Conditional Generative Adversarial Network|-|N/A|[arXiv](https://arxiv.org/abs/1912.07478)|-|
|2019/12|ManiGAN: Text-Guided Image Manipulation|CVPR|N/A|[arXiv](https://arxiv.org/abs/1912.06203)|[PyTorch (Official)](https://github.com/mrlibw/ManiGAN)
|
|2019/12|Controlling Style and Semantics in Weakly-Supervised Image Generation|ECCV|N/A|[arXiv](https://arxiv.org/abs/1912.03161)|[PyTorch (Official)](https://github.com/dariopavllo/style-semantics)
|
|2019/09|Controllable Text-to-Image Generation|NeurIPS|N/A|[arXiv](https://arxiv.org/abs/1909.07083)|[PyTorch (Official)](https://github.com/mrlibw/ControlGAN)
[TensorFLow](https://github.com/taki0112/ControlGAN-Tensorflow)
|
|2019/09|Multi-mapping Image-to-Image Translation via Learning Disentanglement|NeurIPS|N/A|[arXiv](https://arxiv.org/abs/1909.07877)|[PyTorch (Official)](https://github.com/Xiaoming-Yu/DMIT)
|
|2019/08|SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks|ICIP|N/A|[IEEE](https://ieeexplore.ieee.org/document/8804285)
[Author](https://zsdonghao.github.io/paper/2019icip_simgan.pdf)|-|
|2019/05|Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations|CHI|N/A|[ACM](https://dl.acm.org/doi/10.1145/3290607.3312929)|-|
|2019/04|Text Guided Person Image Synthesis|CVPR|N/A|[arXiv](https://arxiv.org/abs/1904.05118)|-|
|2019/03|Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks|ICASSP|N/A|[arXiv](https://arxiv.org/abs/1903.07499)|[PyTorch (Official)](https://github.com/vtddggg/BilinearGAN_for_LBIE)
|
|2019/03|Language-based Colorization of Scene Sketches|SIGGRAPH Asia|N/A|[ACM](https://dl.acm.org/doi/10.1145/3355089.3356561)
[Author](mo-haoran.com/files/SIGA19/SketchColorization_paper_SA2019.pdf)|[TensorFlow (Official)](https://github.com/SketchyScene/SketchySceneColorization)
|
|2018/12|Paired-D GAN for Semantic Image Synthesis|ACCV|N/A|[Springer](https://link.springer.com/chapter/10.1007/978-3-030-20870-7_29)
[Author](http://www.dgcv.nii.ac.jp/Publications/Papers/2018/ACCV2018a.pdf)|[PyTorch (Official)](https://github.com/vominhduc/Paied-D-GAN)
|
|2018/12|Sequential Attention GAN for Interactive Image Editing via Dialogue|ACMMM|N/A|[arXiv](https://arxiv.org/abs/1812.08352)|-|
|2018/11|Keep Drawing It: Iterative Language-based Image Generation and Editing|NeurIPS (ViGIL Workshop)|N/A|[arXiv](https://arxiv.org/abs/1811.09845v1)|-|
|2018/11|Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction|ICCV|N/A|[arXiv](https://arxiv.org/abs/1811.09845)|[PyTorch (Official)](https://github.com/Maluuba/GeNeVA)
|
|2018/10|Cross-Modal Style Transfer|ICIP|N/A|[IEEE](https://ieeexplore.ieee.org/document/8451734)|[PyTorch (Official)](https://github.com/SahilC/Cross-Modal-Style)
|
|2018/10|Learning to Globally Edit Images with Textual Description|-|N/A|[arXiv](https://arxiv.org/abs/1810.05786)|[PyTorch (Official)](https://github.com/sohuren/Img_edit_with_text)
|
|2018/10|Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language|NeurIPS|N/A|[arXiv](https://arxiv.org/abs/1810.11919)|[PyTorch (Official)](https://github.com/woozzu/tagan)
|
|2018/08|Language Guided Fashion Image Manipulation with Feature-wise Transformations|ECCV (Workshop)|N/A|[arXiv](https://arxiv.org/abs/1808.04000)|-|
|2018/08|LUCSS: Language-based User-customized Colourization of Scene Sketches|-|N/A|[arXiv](https://arxiv.org/abs/1808.10544)|-|
|2018/07|Semantic Image Synthesis via Conditional Cycle-Generative Adversarial Networks|ICPR|N/A|[IEEE](https://ieeexplore.ieee.org/document/8545383)
[ResearchGate](https://www.researchgate.net/publication/329317460)|-|
|2018/07|Semantics Images Synthesis and Resolution Refinement Using Generative Adversarial Networks|CSPS|N/A|[Springer](https://link.springer.com/chapter/10.1007/978-981-13-6504-1_74)|-|
|2018/05|MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis|BMVC|N/A|[arXiv](https://arxiv.org/abs/1805.01123)|[PyTorch (Official)](https://github.com/HYOJINPARK/MC_GAN)
|
|2018/04|Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation|ECCV|N/A|[arXiv](https://arxiv.org/abs/1804.04128)|[PyTorch (Official)](https://github.com/awesome-davian/Text2Colors)
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|2018/04|Learning to Color from Language|NAACL|N/A|[arXiv](https://arxiv.org/abs/1711.06288)|[PyTorch (Official)](https://github.com/superhans/colorfromlanguage)
|
|2017/12|CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication|ACL|N/A|[arXiv](https://arxiv.org/abs/1712.05558)|[PyTorch (Official)](https://github.com/facebookresearch/codraw-models)
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|2017/12|Interactive Image Manipulation with Natural Language Instruction Commands|NeurIPS (ViGIL Workshop)|N/A|[arXiv](https://arxiv.org/abs/1802.08645)|-|
|2017/11|Language-Based Image Editing with Recurrent Attentive Models|CVPR|N/A|[arXiv](https://arxiv.org/abs/1711.06288)|[TensorFlow (Official)](https://github.com/Jianbo-Lab/LBIE)
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|2017/10|Be Your Own Prada: Fashion Synthesis with Structural Coherence|ICCV|N/A|[arXiv](https://arxiv.org/abs/1710.07346)|[Torch (Official)](https://github.com/zhusz/ICCV17-fashionGAN)
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|2017/07|Semantic Image Synthesis via Adversarial Learning|ICCV|N/A|[arXiv](https://arxiv.org/abs/1707.06873)|[PyTorch](https://github.com/woozzu/dong_iccv_2017)
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|2016/05|Generative Adversarial Text to Image Synthesis|ICML|N/A|[arXiv](https://arxiv.org/abs/1605.05396)|[Torch (Official)](https://github.com/reedscot/icml2016)
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## Contributing
Feel free to send me [pull requests](https://github.com/martinduartemore/awesome-text-based-image-manipulation) to add resources.