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05/03/2023
Shap-E: Generating Conditional 3D Implicit Functions
We present Shap-E, a conditional generative model for 3D assets. Unlike ...
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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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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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05/11/2021
Diffusion Models Beat GANs on Image Synthesis
We show that diffusion models can achieve image sample quality superior ...
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02/18/2021
Improved Denoising Diffusion Probabilistic Models
Denoising diffusion probabilistic models (DDPM) are a class of generativ...
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03/03/2020
VQ-DRAW: A Sequential Discrete VAE
In this paper, I present VQ-DRAW, an algorithm for learning compact disc...
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04/10/2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
In this report, we present a new reinforcement learning (RL) benchmark b...
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03/08/2018