Oscar Michel's Webpage

About Me

I am a second year PhD student at NYU Courant advised by Prof. Saining Xie. My research is in world models.

Recently, I interned at NVIDIA working on reward models for COSMOS in the Deep Imagination Research group. Before that, I was a predoctoral researcher at the Allen Institute for AI working primarily with Dr. Tanmay Gupta and Dr. Ani Kembhavi.

I was an undergraduate at the University of Chicago, where I received a degree in mathematics. There I was fortunate to work with Prof. Rana Hanocka and Prof. Michael Maire.

Contact

Selected Publications

	Solaris: Building a Multiplayer Video World Model in Minecraft Oscar Michel^, Georgy Savva^, Daohan Lu^*, Suppakit Waiwitlikhit, Timothy Meehan, Dhairya Mishra, Srivats Poddar, Jack Lu, Saining Xie Arxiv 2025 A multiplayer video world model in Minecraft and an engine for generating multiplayer gameplay data. Arxiv Page Code (Model) Code (Engine) BibTex
	Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models Matt Deitke, Chirstopher Clark, et al. CVPR 2025 (Best Paper Honorable Mention) A family of open multimodal models that are as good as the best commerical ones. My contribution was creating a novel evaluation benchmark for testing fine-grained world knowledge in VQA. Arxiv Page Code BibTex
	OBJect 3DIT: Language-guided 3D-aware Image Editing Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Ani Kembhavi, Tanmay Gupta NeurIPS 2023 Using synthetic data to give diffusion models intutitive controls that enable geometrically accurate 3D manipulations of objects in images. Arxiv Page Code BibTex
	Objaverse: A Universe of Annotated 3D Objects Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi CVPR 2023 Objaverse is a large dataset of 800k+ 3D models. Arxiv Page Colab BibTex
	Text2Mesh: Text-Driven Neural Stylization for Meshes Oscar Michel^, Roi Bar On^, Richard Liu^, Sagie Benaim, Rana Hanocka CVPR 2022 (Oral)* Text2Mesh is an algorithm for language guided stylization of a 3D object. Arxiv Page Code BibTex

Awards and Honors

National Science Foundation Graduate Research Fellowship Program (NSF GRFP) - 2025
Best Paper Honorable Mention, Conference on Computer Vision and Pattern Recognition (CVPR) - 2025
For "Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models"
Oral Presentation, Conference on Computer Vision and Pattern Recognition (CVPR) - 2022
For "Text2Mesh: Text-Driven Neural Stylization for Meshes"
McCormick Fellowship, University of Chicago - 2021
Illinois State Scholar - 2017