Pinned
Carlos Esteves
@_machc
Research Scientist @GoogleAI #GoogleResearch. PhD in CS @GRASPlab, @Penn. Interested in computer vision and machine learning.
Joined February 2018
- We'll present "Spectral Image Tokenizer" at #ICCV2025 later today, afternoon session. We tokenize the image spectrum, train an autoregressive transformer for coarse-to-fine generation, and show applications to image generation, upsampling and editing. w/ @kiamada @msuhail153Our 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 arxiv.org/abs/2412.09607
- 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 arxiv.org/abs/2412.09607
- At #CVPR2024, I will give a talk about "Geometric Deep Learning for Weather" at the Equivariant Vision workshop Tue 2pm equivision.github.io, and I'll present a poster on Single Mesh Diffusion Wed 5pm single-mesh-diffusion.github.io w/ @twmitchel and @kiamada. Hope to see you there!
- Our blog post on scaling spherical CNNs for scientific applications was just published, check it out!Applying computer vision models designed for planar images to data projected on spherical surfaces is challenging. Here we present an open-source library in JAX to solve the challenges of rotation and regular sampling for state-of-the-art performance → goo.gle/46z3vD7
