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12/16/2022
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
While recent work on text-conditional 3D object generation has shown pro...
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07/28/2022
Efficient Training of Language Models to Fill in the Middle
We show that autoregressive language models can learn to infill text aft...
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04/13/2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Contrastive models like CLIP have been shown to learn robust representat...
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12/20/2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Diffusion models have recently been shown to generate high-quality synth...
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07/07/2021
Evaluating Large Language Models Trained on Code
We introduce Codex, a GPT language model fine-tuned on publicly availabl...
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02/24/2021
Zero-Shot Text-to-Image Generation
Text-to-image generation has traditionally focused on finding better mod...
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10/28/2020
Scaling Laws for Autoregressive Generative Modeling
We identify empirical scaling laws for the cross-entropy loss in four do...
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05/28/2020
Language Models are Few-Shot Learners
Recent work has demonstrated substantial gains on many NLP tasks and ben...
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04/07/2020