Casual GAN Papers
Easy to read summaries of popular AI papers.
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Harnessing the Conditioning Sensorium for Improved Image Translation by Nederhood et al. explained in 5 minutes
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Resolution-robust Large Mask Inpainting with Fourier Convolutions by Suvorov et al. explained in 5 minutes
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StyleNeRF by Anonymous ICLR 2022 submission explained in 5 minutes.
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WarpedGANSpace: Finding non-linear RBF paths in GAN latent space by Tzeplis et al. explained in 5 minutes.
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Unsupervised Discovery of Interpretable Directions in the GAN Latent Space by Voynov and Babenko explained in 5 minutes.
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ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation by Yahui Liu et al. explained in 5 minutes.
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Diverse Generation from a Single Video Made Possible by Niv Haim, Ben Feinstein et al. explained in 5 minutes.
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Instance-Conditioned GAN by Arantxa Casanova et al. explained in 5 minutes.
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Unconstrained Scene Generation with Locally Conditioned Radiance Fields by Terrance DeVries et al. explained in 5 minutes.
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Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering by Bangbang Yang et al. explained in 5 minutes.
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Learning Transferable Visual Models From Natural Language Supervision by Alec Radford, Jong Wook Kim et al. explained in 5 minutes.
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Finetuned Language Models Are Zero-Shot Learners by Jason Wei et al. explained in 5 minutes.
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Robust High-Resolution Video Matting with Temporal Guidance by Shanchuan Lin et al. explained in 5 minutes.
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Casual GAN Papers: What I learned after writing summaries for 50 AI papers over the last 6 months! by Kirill Demochkin explained in 5 minutes.
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