Miguel Angel Bautista
@itsbautistam.bsky.social
I am a research scientist @ Apple MLR, seeking a grand unification of generative modeling 🇪🇸🇺🇸
Here's one to read on your flight to #NeurIPS2024! A flow-matching transformer model in function space! This model has all the advantages of neural fields: resolution-free generation and domain-agnostic architecture, while obtaining strong results on ImageNet-256 and Objaverse!
1/n 🚨New preprint! Our work “Coordinate In and Value Out: Training Flow Transformers in Ambient Space” arxiv.org/abs/2412.03791 presents a domain-agnostic and end2end flow-matching generative model that effectively handles various modalities like images and point clouds.
December 6, 2024 at 7:55 PM
Here's one to read on your flight to #NeurIPS2024! A flow-matching transformer model in function space! This model has all the advantages of neural fields: resolution-free generation and domain-agnostic architecture, while obtaining strong results on ImageNet-256 and Objaverse!