Search Results for author:
Found 3 papers, 2 papers with code
Gotta Go Fast with Score-Based Generative Models
Score-based (denoising diffusion) generative models have recently gained a lot of success in generating realistic and diverse data.
Gotta Go Fast When Generating Data with Score-Based Models
For high-resolution images, our method leads to significantly higher quality samples than all other methods tested.
Ranked #8 on
Image Generation
on CIFAR-10
(Inception score metric)
Adversarial score matching and improved sampling for image generation
Denoising Score Matching with Annealed Langevin Sampling (DSM-ALS) has recently found success in generative modeling.
Ranked #54 on
Image Generation
on CIFAR-10
