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- TL;DR: Text Prompt -> LLM -> Intermediate Representation (such as an image layout) -> Stable Diffusion -> Image. Recent advancements in text-to-image generation with diffusion models have yielded remarkable results synthesizing highly realistic and diverse images. However, despite their impressive capabilities, diffusion models, such as Stable Diffusion, often struggle to accurately follow the prompts when […]
- GPT-4 + Stable-Diffusion = ?: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
- Interactive Fleet Learning
- Koala: A Dialogue Model for Academic Research
- Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
- Keeping Learning-Based Control Safe by Regulating Distributional Shift
- Reverse engineering the NTK: towards first-principles architecture design
- Why do Policy Gradient Methods work so well in Cooperative MARL? Evidence from Policy Representation
- FIGS: Attaining XGBoost-level performance with the interpretability and speed of CART
- The Berkeley Crossword Solver
- Rethinking Human-in-the-Loop for Artificial Augmented Intelligence
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