Papers

Filtered to visual diffusion transformers · 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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers

17 upvotes · 30 JUL 2026 · Chongjian Ge, Hanwen Jiang, Tianyu Wang et al.

This paper introduces Chimera, a hybrid visual diffusion transformer that efficiently processes text, image, and video tokens to generate high-resolution images, videos, and multimodal context. Practitioners might care about this paper because it provides a scalable solution for large-scale visual generation tasks.

visual diffusion transformershybrid modelscontinual learningmultimodal generationsparse mixture-of-experts