Manifold-Constrained Initial Noise Optimization for Efficient Generative Model Alignment
cs.LG, cs.AI, cs.CV
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/christophschuhmann/improved-aesthetic-predictor
Terminology
Sources
- PaddleOCR 3.0 Technical Report
- Mean Flows for One-step Generative Modeling
- Manifold Preserving Guided Diffusion
- Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
- Gradient-Free Noise Optimization for Reward Alignment in Generative Models
- Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling
- Consistency Models
- Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
- Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
- Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
- DanceGRPO: Unleashing GRPO on Visual Generation
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