Oscar Michel's Webpage

About Me

I am a Predoctoral Young Investigator at the Allen Institute for AI, working in PRIOR, the computer vision team. My research interests include multimodal and 3D computer vision.

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

Contact

Research

OBJect 3DIT: Language-guided 3D-aware Image Editing
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Ani Kembhavi, Tanmay Gupta
NeurIPS 2023

A synthetic dataset and a model that learns to rotate, translate, insert and remove objects identified by language in a scene. It can transfer to real world images.

Objaverse-XL: A Universe of 10M+ 3D Objects
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadr, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
NeurIPS Datasets & Benchmarks 2023

An even more massive dataset of 3D objects and a state of the art model for rotating objects.

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.

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.