Interesting simulator. Got my “virtual degree” within 5 years - after not passing the qual in my first trial 😥

Our new text-to-image model, DALL·E 3, can translate nuanced requests into extremely detailed and accurate images. Coming soon to ChatGPT Plus & Enterprise, which can help you craft amazing prompts to bring your ideas to life: openai.com/dall-e-3

Can we use a diffusion model to generate various everyday interactions between the whole body and dynamic objects?🧐 🔥Delighted to share our work InterDiff #ICCV2023🔥 Project: sirui-xu.github.io/InterDiff Code: github.com/Sirui-Xu/Inter… Arxiv: arxiv.org/abs/2308.16905 🧵[1/6]

We've released the ScanNet++ data! Check it out: kaldir.vc.in.tum.de/scannetpp/ 280 high-fidelity 3D scenes w/ 1mm geometry, DSLR+iPhone images, semantics We're currently beta-testing, please bear with us - approval may initially take up to 2 weeks Test scenes and benchmark to come!

What should the right representation for robotic manipulation be? Enter D^3Fields: a 3D, dynamic, and semantic representation using foundation models WITHOUT training for zero-shot generalizable robotic manipulation. Colab is available! 🔗 robopil.github.io/d3fields/ 🧵👇

Proud Wolverine Moment 🏈🏆 Go Blue!!

Introducing Sora, our text-to-video model. Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions. openai.com/sora Prompt: “Beautiful, snowy

Honored to be recognized as a top reviewer for NeurIPS Conference 2024! neurips.cc/Conferences/20… #neurips2024

Excited to present our work, CoDA-NO, on multi-physics systems! Join us at the first poster session of #NeurIPS2024 on Wednesday, December 11, in the East Exhibit Hall, Poster #4102. See you there!

I received a review like this five years ago. It’s probably the right time now to share it with everyone who wrote or got random discouraging reviews from ICML/ACL.

Our paper "Group Downsampling with Equivariant Anti-aliasing" will be presented at #ICLR2025 🎉! We propose a novel subgroup sampling layer connecting Cayley graphs, uniform subgroup subsampling, and anti-aliasing—boosting equivariant models' efficiency with minimal compute.

Vision-Language Models (VLMs) can describe the environment, but can they refer within it? Our findings reveal a critical gap: VLMs fall short of pragmatic optimality. We identify 3 key failures of pragmatic competence in referring expression generation with VLMs: (1) cannot

🚨 We are presenting our ICML 2025 oral next week: Model Immunization from a Condition Number Perspective 📄 amberyzheng.com/immu_cond_num/ (1/n)

Tomorrow, we are presenting “Model Immunization from a Condition Number Perspective” at ICML: 📢Oral: Jul 17, 1:45–2:00 p.m. EDT @ West Exhib. Hall C 📌Poster: 2:00–4:30 p.m. EDT @ East Exhib. Hall A-B (E-1604) Come talk to Cedar and learn more about reducing model misuse!

[1/3] 🚀 Introducing ShapeGen4D: video → high-quality 4D mesh sequences. A native, end-to-end video-to-4D model that turns monocular videos into high-quality mesh sequences (no per-frame optimization). details 👉 shapegen4d.github.io

Excited to present our work “Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer” at #ICCV2025! 🌺 We introduce DEC, a plug-and-play module that enhances local scale equivariance in vision models like ViT and Swin, boosting robustness with minimal overhead.