Just dropped: Rectified Point Flow Can we automate 3D assembly from unposed point clouds without supervision? Yes—we use a generative model that learns symmetry & part interchangeability entirely from shape Enabling robotics, AR/VR, & reverse engineering 🌐 rectified-pointflow.github.io

🌟🏆 Excited to share that I’ve been selected as a recipient of the 2025 Google Research Scholar Program, on Machine Perception! Grateful to Google Research for supporting early-career faculty. Details and this year’s cohort of exceptional researchers: goo.gle/rs

🚨Only 1 day left to submit a full paper on (scene) graphs to the 3rd Workshop on #SG2RL! - Can't make it? Extended abstracts are due on July 7th - Dangling carrot🥕? We are in 𝑯𝒂𝒘𝒂𝒊'𝒊, @ICCVConference 2025 🌐 sites.google.com/view/sg2rl/

At @cvprconference.bsky.social? Come to the AI Art exhibit to interact with our #GradientCanvas! It is a community generated #AR painting. Users can claim a region and add their own contribution. No painting skills required, just words! gradientcanvas.github.io Gradients Spaces, Stanford Univ.

At @cvprconference.bsky.social? Join me for: (1/4) ▶️ Talk at 5th Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics 📅 Wed June 11th, 11:15-11:45AM 📍 106C

📰 Paper: arxiv.org/abs/2502.15011 ▶️ Project Page: sayands.github.io/crossover/ 💻 Codebase: github.com/GradientSpaces… Work w/ Ondrej Miksik, @marcpollefeys.bsky.social, @danielbarath.bsky.social and @ir0armeni.bsky.social ✨ (3/3)

Meet 𝐑𝐞𝐒𝐩𝐚𝐜𝐞, a text-driven 3D scene synthesis+editing method, powered by autoregressive LLMs and spatially grounded representations. - Object addition = next-token prediction - RLVR-tuned for fine control - Voxel loss for geometric nuance 🌐 respace.mnbucher.com w/ @mnbucher.bsky.social

🎨 AI-powered interior design from video—just bring a Pinterest image. Meet ReStyle3D #SIGGRAPH25: per-object, multi-view style transfer for real scenes. No 3D model. No camera poses. Just semantics + diffusion magic. 🚀 Stylize scenes, photorealistically. 🌐 restyle3d.github.io

🚨 Winners of the Nothing Stands Still Challenge 2025 are in! 🥇First Place: Daebeom Kim, Seungjae Lee, Seoyeon Jang, Jei Kong, Prof. Hyun Myung 🥈Second Place: Xuan Ouyang, Linjie Li, Zhengbao Wang, Prof. Siwen Quan, Prof. Jiaqi Yang Congrats! 🏗️✨ #ICRA2025 #NSS

Nothing Stands Still — Except the Date! Join us May 19 (Atlanta or Zoom) for the 4th Workshop on Construction Robotics! Explore 4D perception, automation, & results from the #NothingStandsStill challenge. Info: construction-robots.github.io #ConstructionRobotics #4DPerception

🚨 👉 NSS Challenge deadline extended to **May 12th**-- spread the word! 🏗️ Nothings Stands Still Challenge 2025 🌐 www.nothing-stands-still.com/challenge 4th Workshop on Future of Construction, ICRA 2025 May 19th, Atlanta, USA construction-robots.github.io #NSS #ICRA2025

🚨 SLAM struggling in dynamic environments? We've been there. WildGS-SLAM at #CVPR2025, our new monocular RGB SLAM system, tackles dynamic scenes with uncertainty-aware tracking and mapping, resulting to more robust tracking, cleaner maps, and high-quality view synthesis. ⬇️ 🌐 wildgs-slam.github.io

The Nothing Stands Still Challenge is back and due on ⌛ May 7th! 💰 Kept the cash prize but created new data that are extra challenging. 🏗️ Goal: create spatiotemporal maps of drastically changing environments. What a better fit than construction sites? Visit here: 🌐 hilti-challenge.com

How do you align point clouds, CAD, floor plans. images, and text to share scene knowledge? CrossOver learns a unified, modality-agnostic embedding space—enabling seamless multi-modal scene alignment without semantic labels. #CVPR2025 🌐sayands.github.io/crossover/