% Key papers for Conditional GANs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2018_high_13188, title = {{High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_High-Resolution_Image_Synthesis_CVPR_2018_paper.html}, } @inproceedings{icml2017_conditional_36105, title = {{Conditional Image Synthesis with Auxiliary Classifier GANs}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2017}, url = {https://icml.cc/virtual/2017/poster/792}, } @inproceedings{cvpr2019_mode_14524, title = {{Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{iclr2018_cgans_28469, title = {{cGANs with Projection Discriminator}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/217}, } @inproceedings{cvpr2020_ciagan_15222, title = {{CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2020_gan_15579, title = {{GAN Compression: Efficient Architectures for Interactive Conditional GANs}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2018_cross_12937, title = {{Cross-View Image Synthesis Using Conditional GANs}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Regmi_Cross-View_Image_Synthesis_CVPR_2018_paper.html}, } @inproceedings{iclr2019_diversity_29165, title = {{Diversity-Sensitive Conditional Generative Adversarial Networks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/1080}, } @inproceedings{iclr2021_large_30678, title = {{Large Scale Image Completion via Co-Modulated Generative Adversarial Networks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/2759}, } @inproceedings{icml2019_high_37425, title = {{High-Fidelity Image Generation With Fewer Labels}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/4273}, } @inproceedings{cvpr2017_generative_12308, title = {{Generative Attribute Controller With Conditional Filtered Generative Adversarial Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{neurips2020_contragan_59594, title = {{ContraGAN: Contrastive Learning for Conditional Image Generation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18517}, } @inproceedings{neurips2019_learning_58534, title = {{Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13292}, } @inproceedings{cvpr2021_divco_16887, title = {{DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{neurips2017_structured_56699, title = {{Structured Generative Adversarial Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2017}, url = {https://nips.cc/virtual/2017/poster/9171}, } @inproceedings{cvpr2020_attentive_15162, title = {{Attentive Normalization for Conditional Image Generation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{iclr2019_robust_28832, title = {{Robust Conditional Generative Adversarial Networks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/1105}, } @inproceedings{iclr2019_harmonizing_28921, title = {{Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/939}, } @inproceedings{aaai2020_conditional_101266, title = {{Conditional Generative Neural Decoding with Structured CNN Feature Prediction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5647}, } @inproceedings{aaai2024_attack_5214, title = {{Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27900}, }