A collection of latest papers on top-notch conferences for image generation with different conditional context. (constantly updating)
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Not including papers of image-to-image translation, please see image-to-image papers for more related papers.
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Plan to add or update comments according to my progress of reading and understanding.
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Feel free to send a PR or issue.
Model | Paper | Conference | Paper Link | Code Link | Comments |
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SPADE | Semantic Image Synthesis with Spatially-Adaptive Normalization | CVPR 2019 (Oral) | 1903.07291 | NVlabs/SPADE | 1.A conditonal normalization layer 2.sementic information is used to learn the affine coefficients |
Seg2vid | Video Generation from Single Semantic Label Map | CVPR 2019 | 1903.04480 | junting/seg2vid |
Model | Paper | Conference | Paper Link | Code Link | Comments |
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Layout2Im | Image Generation from Layout | CVPR 2019 | 1811.11389 |
Model | Paper | Conference | Paper Link | Code Link | Comments |
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Sg2im | Image Generation from Scene Graphs | CVPR 2018 | 1804.01622 | google/sg2im |
Model | Paper | Conference | Paper Link | Code Link | Comments |
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MirrorGAN | MirrorGAN: Learning Text-to-image Generation by Redescription | CVPR 2019 | 1903.05854 | Text-to-image-to-text | |
ObjectGAN | Object-driven Text-to-Image Synthesis via Adversarial Training | CVPR 2019 | 1902.10740 | text --> semantic layout | |
StoryGAN | StoryGAN: A Sequential Conditional GAN for Story Visualization | CVPR 2019 | 1812.02784 | yitong91/StoryGAN | story-to-image-sequence generation |
Text2Scene | Text2Scene: Generating Compositional Scenes from Textual Descriptions | CVPR 2019 | 1809.01110 | ||
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis | CVPR 2018 | 1801.05091 | text--> semantic layout |