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Diffusion Model Research

Diffusion Model Research

1
posts
2025

Runway is actively researching and developing advanced diffusion models for various AI applications, including vision-language tasks, image generation, 3D rendering, and video synthesis. Recent work focuses on improving efficiency, controllability, interpretability, and mitigating biases in these models.

2025

Runway Research | Research Papers

4/8/2025

This collection of research papers details advancements in diffusion models, including adapting autoregressive models for parallel diffusion decoding (A2D), a dual-process distillation scheme for image generation control, stochastic rasterization for 3D Gaussian Splatting, progressive prompt detailing for text-to-image alignment (SCoPE), leveraging latent space for domain generalization, concept steering using k-sparse autoencoders, interpreting semantic information in diffusion models (Revelio), mitigating stereotypical biases, and structure/content-guided video synthesis.