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Keyword

conditional image generation

Description: Conditional image generation is the creation of images by generative models guided by input information, such as a prompt or other condition.
OpenAlex ID: keywords/conditional-image-generation
Adding Conditional Control to Text-to-Image Diffusion Models
2023 · Lvmin Zhang, Anyi Rao, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 4,509
Diffusion Models Beat GANs on Image Synthesis
2021 · Dhariwal, Prafulla, Nichol, Alex · arXiv (Cornell University) · 3,361
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Conditional Image Synthesis With Auxiliary Classifier GANs
2016 · Odena, Augustus, Olah, Christopher, et al. · arXiv (Cornell University) · 2,880
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Taming Transformers for High-Resolution Image Synthesis
2021 · Patrick Esser, Robin Rombach, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,506
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Conditional Image Generation with PixelCNN Decoders
2016 · Oord, Aaron van den, Kalchbrenner, Nal, et al. · arXiv (Cornell University) · 1,833
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Semantic Image Inpainting with Deep Generative Models
2017 · Raymond A. Yeh, Chen Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,236
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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
2018 · Han Zhang, Tao Xu, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,224
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Attribute2Image: Conditional Image Generation from Visual Attributes
2016 · Xinchen Yan, Jimei Yang, et al. · Lecture notes in computer science · 688
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Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
2017 · Anh Nguyen, Jeff Clune, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 585
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A Variational U-Net for Conditional Appearance and Shape Generation
2018 · Patrick Esser, Ekaterina Sutter · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 466
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Stacked Generative Adversarial Networks
2017 · Xun Huang, Yixuan Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 450
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Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
2019 · Qi Mao, Hsin-Ying Lee, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 443
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DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
2023 · Zixiang Zhao, Haowen Bai, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 422
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Learning What and Where to Draw
2016 · Reed, Scott, Akata, Zeynep, et al. · arXiv (Cornell University) · 411
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Triple Generative Adversarial Nets
2017 · Li, Chongxuan, Xu, Kun, et al. · arXiv (Cornell University) · 366
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Autoregressive Image Generation using Residual Quantization
2022 · Doyup Lee, Chiheon Kim, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 291
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Editing in Style: Uncovering the Local Semantics of GANs
2020 · Edo Collins, Raja Bala, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 276
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Multimodal Unsupervised Image-to-Image Translation
2018 · Huang, Xun, Liu, Ming-Yu, et al. · arXiv (Cornell University) · 259
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A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis
2023 · Gustav Müller-Franzes, Jan Moritz Niehues, et al. · Scientific Reports · 254
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A Generative Model of People in Clothing
2017 · Christoph Lassner, Gerard Pons-Moll, et al. · IEEE International Conference on Computer Vision (ICCV) · 245
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Adversarial text-to-image synthesis: A review
2021 · Stanislav Frolov, Tobias Hinz, et al. · Neural Networks · 209
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Consistency Regularization for Generative Adversarial Networks
2019 · Zhang, Han, Zhang, Zizhao, et al. · arXiv (Cornell University) · 207
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RealFusion 360° Reconstruction of Any Object from a Single Image
2023 · Luke Melas-Kyriazi, Iro Laina, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 200
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Adding Conditional Control to Text-to-Image Diffusion Models
2023 · Zhang, Lvmin, Rao, Anyi, et al. · arXiv (Cornell University) · 200
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Lifelong GAN: Continual Learning for Conditional Image Generation
2019 · Mengyao Zhai, Lei Chen, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 182
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Works count: 1,072
Citation count: 31,960
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