Casual GAN Papers
Easy to read summaries of popular AI papers.
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Representing Scenes as Compositional Generative Neural Feature Fields by Michael Niemeyer et al. explained in 5 minutes.
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GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis by Katja Schwarz et al. explained in 5 minutes.
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Pivotal Tuning for Latent-based Editing of Real Images by Daniel Roich et al. explained in 5 minutes.
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Alias-Free GAN by Tero Karras et al. explained in 10 minutes.
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Towards Real-World Blind Face Restoration with Generative Facial Prior by Xintao Wang et al. explained in 5 minutes.
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GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!) by Min Jin Chong et al. explained in 5 minutes.
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SimSwap: An Efficient Framework For High Fidelity Face Swapping by Renwang Chen et al. explained in 5 minutes.
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Image Generators with Conditionally-Independent Pixel Synthesis by Anokhin et al. explained in 5 minutes.
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Zero-Shot Text-to-Image Generation by Zhao Shengyu et al. explained in 5 minutes.
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Endless Loops: Detecting and Animating Periodic Patterns in Still Images by Tavi Halperin et al. explained in 5 minutes.
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Large Scale Image Completion via Co-Modulated Generative Adversarial Networks by Zhao Shengyu et al explained in 5 minutes.
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GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds by Zekun Hao et al. explained in 5 minutes.
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