Papers

Filtered to pre-trained models · clear filter

Browse by term

continual learning 64reinforcement learning 34large language models 17benchmarking 12vision-language models 10generative models 8language models 8video generation 7multimodal models 6natural language processing 6robotics 6world models 6benchmarks 5diffusion models 5on-policy distillation 5policy optimization 5scalability 5self-distillation 5vision-language-action models 5autoregressive models 4computer vision 4diffusion transformers 4LLMs 4multimodal large language models 4verifiable rewards 4attention mechanisms 3embodied intelligence 3image editing 3long-term memory 3multimodal learning 3

Matching papers

Parallel Decoding Distillation for Fast Image and Video Generation

10 upvotes · 28 JUL 2026 · Neta Shaul, Chao Liu, Arash Vahdat et al.

This paper introduces Parallel Decoding Distillation (PDD), a new method to speed up image and video generation in diffusion and flow models, achieving state-of-the-art performance while improving video diversity. Practitioners might care about PDD's potential to accelerate video generation tasks.