Excited to share our #ICCV2025 work Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets! Our method generates large sets of images using significantly less compute than standard diffusion. 📎https://ddecatur.github.io/hierarchical-diffusion/ 1/

We’ve been building something we’re 𝑟𝑒𝑎𝑙𝑙𝑦 excited about – LL3M: LLM-powered agents that turn text into editable 3D assets. LL3M models shapes as interpretable Blender code, making geometry, appearance, and style easy to modify. 🔗 threedle.github.io/ll3m 1/

Our work “Geometry in Style” will be presented at #CVPR2025 on Sunday at 4pm in ExHall D, poster 219. Drop by and say hi! Our technique is capable of performing expressive text-driven deformations that preserve the input shape identity. 1/

Big update from The Workshop on Computer Vision For Mixed Reality @ CVPR 2025: 📝 Papers and schedule are now up! Our Speakers: Richard Newcombe (Meta) Anjul Patney (NVIDIA) Rana Hanocka (UChicago) Laura Leal-Taixe ‪(NVIDIA) Margarita Grinvald (Meta) 📅 June 11, 8AM 📍Room 109. cv4mr.github.io

Congrats Brian and team on the best paper honorable mention at #3dv2025 🥳🎉 Brian (hywkim-brian.github.io/site/) is going to start his PhD next year at Columbia with @silviasellan.bsky.social Make sure to watch out for their awesome works 📈📈📈

My colleague Rana Hanocka does exciting work on the frontier for 3D graphics and AI/ML, and she’s recruiting PhD students this cycle!