paper list for sharing
| Paers | Model | Conference | Others |
|---|---|---|---|
| Generative Adversarial Text to Image Synthesis | GAN-INT-CLS | ICML 2016 | |
| StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks | StackGAN | ICCV 2017 | |
| StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks | StackGAN++ | TPAMI 2018 | |
| AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks | AttnGAN | CVPR 2018 | |
| Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network | HD-GAN | CVPR 2018 | |
| StoryGAN: A Sequential Conditional GAN for Story Visualization | StoryGAN | CVPR 2019 | |
| Object-driven Text-to-Image Synthesis via Adversarial Training | Obj-GAN | CVPR 2019 | |
| MirrorGAN: Learning Text-to-image Generation by Redescription | MirrorGAN | CVPR 2019 | |
| Controllable Text-to-Image Generation | CPGAN | ECCV 2020 |
| Paers | Model | Conference | Others |
|---|---|---|---|
| Learning What and Where to Draw | GAWWN | NIPS 2016 | |
| Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis | CVPR 2018 | ||
| Image Generation from Scene Graphs | sg2im | CVPR 2018 | |
| Text2Scene: Generating Abstract Scenes from Textual Descriptions | Text2Scene | CVPR 2019 | |
| Image Generation from Layout | Layout2Im | CVPR 2019 | |
| LayoutGAN: Generating Graphic Layouts with Wireframe Discriminator | LayoutGAN | ICLR 2019 | |
| Generating Multiple Objects at Spatially Distinct Locations | Object Pathways | ICLR 2019 |
| Paers | Model | Conference | Others |
|---|---|---|---|
| Learning Transferable Visual Models From Natural Language Supervision | CLIP | ARXIV | |
| Taming Transformers for High-Resolution Image Synthesis | VQGAN | CVPR 2021 | |
| Zero-Shot Text-to-Image Generation | DALL.E | ||
| Generative Adversarial Transformers | GANSFORMER | ICML 2021 | |
| An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | VIT | ICLR 2021 | |
| Variational Transformer Networks for Layout Generation | CVPR 2021 |
| Paers | Model | Conference | Others |
|---|---|---|---|
| Exploring Principles-of-Art Features For Image Emotion Recognition | ACM MM 2014 | ||
| Exploring Discriminative Representations for Image Emotion Recognition With CNNs | IEEE TRANSACTIONS ON MULTIMEDIA 2020 |
| Paers | Model | Conference | Others |
|---|---|---|---|
| Adaptive Convolutions for Structure-Aware Style Transfer | AdaConv | CVPR 2021 | 对AdaIN的改进 |
| Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes | CVPR 2021 | 基于渲染器的风格化 | |
| Rethinking and Improving the Robustness of Image Style Transfer | ResNet+ | CVPR 2021 | 研究为什么ResNet风格化效果不好 |
| Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization | AdaIN | ICCV 2017 | |
| Perceptual Losses for Real-Time Style Transfer and Super-Resolution | Perceptual Loss | ||
| A Style-Aware Content Loss for Real-time HD Style Transfer | ECCV 2018 |