sample quality
A description of how representative and valuable generated samples are from a model. High sample quality indicates that the outputs closely resemble true or expected distributions.
- Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
- Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation
- CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
- Composition and Alignment of Diffusion Models using Constrained Learning
- Constrained Posterior Sampling: Time Series Generation with Hard Constraints
- Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
- Generalizable Reasoning through Compositional Energy Minimization
- Informed Correctors for Discrete Diffusion Models
- Remasking Discrete Diffusion Models with Inference-Time Scaling
- Sampling 3D Molecular Conformers with Diffusion Transformers
- Test-Time Scaling of Diffusion Models via Noise Trajectory Search
- Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation