ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation paper page: https://
huggingface.co/papers/2306.00
971
… present a plug-in method, named ViCo, for fast and lightweight personalized generation. Specifically, we propose an image attention module to condition the
GENERATIVE AI
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ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation
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NVIDIA AI Agent Powered by GPT-4 Outperforms AutoGPT
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Another article about our work https://t.co/MbeR69BbOO https://t.co/jKOkFCLG7n
— Prof. Anima Anandkumar (@AnimaAnandkumar) 2 juin 2023Another article about our work https://
gamingdeputy.com/nvidias-ai-age
nt-is-connected-to-gpt-4-outperforms-autogpt-and-writes-code-independently-to-dominate-my-world-without-human-intervention/
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Inserting Any Person into Diffusion Models with Single Photo
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Inserting Anybody in Diffusion Models via Celeb Basis paper page: https://
huggingface.co/papers/2306.00
926
… propose a new personalization method that allows for the seamless integration of a unique individual into the pre-trained diffusion model using just one facial photograph and only 1024 -
Wuerstchen: Efficient Text-to-Image Model Pretraining Technique
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Wuerstchen: Efficient Pretraining of Text-to-Image Models paper page: https://
huggingface.co/papers/2306.00
637
… introduce Wuerstchen, a novel technique for text-to-image synthesis that unites competitive performance with unprecedented cost-effectiveness and ease of training on constrained -
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
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SafeDiffuser: Safe Planning with Diffusion Probabilistic Models paper page: https://
huggingface.co/papers/2306.00
148
… propose a new method, called SafeDiffuser, to ensure diffusion probabilistic models satisfy specifications by using a class of control barrier functions. The key idea of our -
Understanding Transformer Internal Mechanisms Through Memory Analysis
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Birth of a Transformer: A Memory Viewpoint paper page: https://
huggingface.co/papers/2306.00
802
… Large language models based on transformers have achieved great empirical successes. However, as they are deployed more widely, there is a growing need to better understand their internal mechanisms -
Understanding Concept Representations in Text-to-Image Diffusion Models
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The Hidden Language of Diffusion Models
— AK (@_akhaliq) 2 juin 2023
paper page: https://t.co/biwX1KX7hG
tackle the challenge of understanding concept representations in text-to-image models by decomposing an input text prompt into a small set of interpretable elements. This is achieved by learning a… pic.twitter.com/mF0QzNxAjoThe Hidden Language of Diffusion Models paper page: https://
huggingface.co/papers/2306.00
966
… tackle the challenge of understanding concept representations in text-to-image models by decomposing an input text prompt into a small set of interpretable elements. This is achieved by learning a -
US regulatory study on AI and ChatGPT rules begins
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US begins study of possible rules to regulate #AI like #ChatGPT https://
reut.rs/44GpdVW #ethics -
AI Expectations Paradox: Short-term Hype, Long-term Underestimation
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the paradox of ai expectations: expectations of what AI will do in the next 1-2 years are always too high but expectations of AI will do in 5+ years are usually too low 5 years ago we were in self-driving summer. we didn’t get L5 autonomy, but we got the FAR more powerful LLMs
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ReviewerGPT: Using Large Language Models for Scientific Paper Review
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ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing Given the rapid ascent of large language models (LLMs), we study the question: (How) can large language models help in reviewing of scientific papers or proposals? We first conduct some pilot