Shypd.aiThe largest open index of AI toolsImage-Generation-CoT is a research project that investigates Chain-of-Thought (CoT) reasoning in image generation. It provides code and checkpoints for autoregressive image generation with test-time scaling and DPO.
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Image-Generation-CoT is an official repository for research papers exploring Chain-of-Thought (CoT) reasoning in image generation. This project provides the first comprehensive investigation into applying CoT strategies to verify and reinforce image generation scenarios. It focuses on three key techniques: scaling test-time computation (ORM, PRM, PARM, PARM++), aligning model preferences with Direct Preference Optimization (DPO), and integrating these techniques for complementary effects. The repository includes training code, data, and checkpoints for fine-tuning models like ORM and PARM, and for training with DPO. It also details evaluation methods for baseline models and various CoT approaches, demonstrating significant improvements in image generation performance.
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