We present Shap-E, a conditional generative model for 3D assets. Unlike
...
While recent work on text-conditional 3D object generation has shown
pro...
We show that autoregressive language models can learn to infill text aft...
We introduce Codex, a GPT language model fine-tuned on publicly availabl...
We identify empirical scaling laws for the cross-entropy loss in four
do...
We introduce Jukebox, a model that generates music with singing in the r...
We show how Zipf's Law can be used to scale up language modeling (LM) to...
We propose the multi-head convolutional neural network (MCNN) architectu...
Deep learning (DL) creates impactful advances following a virtuous recip...
This paper describes a general, scalable, end-to-end framework that uses...
Sequence-to-sequence (Seq2Seq) models with attention have excelled at ta...
Replacing hand-engineered pipelines with end-to-end deep learning system...