2.3k citations · 2.6k across the 13 of their papers we have counts for
3 papers · 1 filter
Compositional Transformers for Scene Generation
Drew A. Hudson, C. Lawrence Zitnick
We introduce the GANformer2 model, an iterative object-oriented transformer, explored for the task of generative modeling. The network incorporates strong and explicit structural p…
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +111
AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.…
Generative Adversarial Transformers
Drew A. Hudson, C. Lawrence Zitnick
We introduce the GANformer, a novel and efficient type of transformer, and explore it for the task of visual generative modeling. The network employs a bipartite structure that ena…