If you're at ICML this week, stop by and chat with @_machc to learn about designing noise schedules for diffusion (Wed, 2:30PM, Hall A)
Ameesh Makadia
@kiamada
- 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 interpretationOur 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
- 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. single-mesh-diffusion.github.io w/@twmitchel & @_machc
- Excited to announce our ICCV’23 paper: “Learning to Transform for Generalizable Instance-wise Invariance”! sutkarsh.github.io/projects/learn…
- Stop by the poster (#2) now to learn more about isolating factors of variation #CVPR2022This Post is from an account that no longer exists. Learn more
