Ameesh Makadia
@kiamada
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Research Scientist, Google Research, NYC. https://t.co/0I4eCVDeLu https://t.co/M7JUu05A4N
New York, NY
Joined December 2018
Rethinking image representations for autoregressive generation! Our new Spectral Image Tokenizer works in the image spectrum, where the coarse-to-fine representation has a more natural sequential interpretation
Our new paper, "Spectral Image Tokenizer", is on arXiv! We train a tokenizer on DWT coefficients that enables autoregressive coarse-to-fine image generation, w/ applications to multiscale text-to-image, and text-guided editing. w/ @kiamada, @msuhail153
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RT @KostasPenn: @TacoCohen ‘s first equivariant paper got me into this wonderful journey of symmetry. Here, at the very place where he re…
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RT @taiyasaki: 🎊🎊🎊 congrats to @DavidCharatan @sizhe_lester_li and @vincesitzmann (We won one of the honorable mentions for best paper aw…
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RT @KostasPenn: This was an amazing presentation by @erikjbekkers on equivariant neural fields and neural ideograms at the Equivision Works…
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RT @twmitchel: Giving a short talk today at the C3DV workshop today at CVPR around 2:20 PM. Will be discussing our main conference paper “S…
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RT @KostasPenn: Our Equivariant Vision workshop features five great speakers @erikjbekkers @HaggaiMaron @ninamiolane @_machc, and Leo Guiba…
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Generate high quality textures with single mesh LDMs! #CVPR2024 Our *intrinsic* 3D diffusion models, trained on a single mesh, can generate texture variations, perform inpainting, and even transfer textures to different shapes. w/@twmitchel & @_machc
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RT @alexttoshev: An image reconstructive representation learning loss that keeps scaling !!! You know how MAE does not benefit well from XL…
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RT @KostasPenn: Would you like to know how to define and realize an equivariant convolution and attention on a light field / feature field?…
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RT @raspstephan: The first major WeatherBench 2 update is now live, including: ➕ New models: (pseudo-)operational Pangu and GraphCast, FuX…
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RT @KostasPenn: 🌟FisherRF introduces a novel approach for view selection & uncertainty in 3D Gaussian Splatting & NeRFs. Fisher information…
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RT @KostasPenn: #CVPR2024 Such a great effort by my wonderful students. Excellent finish. Good luck to all of you. What a great feeling, 3…
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RT @maurice_weiler: We proudly present our 524 page book on equivariant convolutional networks. Coauthored by Patrick Forré, @erikverlinde…
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RT @JeffDean: Some well-rounded results: @GoogleResearch work shows that deep learning on a sphere -- instead of flat space -- is superior…
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Drop by the poster this afternoon (2:30-4:30 PM) at #ICCV2023 to learn more.
Excited to announce our ICCV’23 paper: “Learning to Transform for Generalizable Instance-wise Invariance”!
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