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Research questionHow can multimodal reasoning guide diffusion models for controllable video generation and editing?Multimodal models can interpret complex visual and textual intent, while diffusion models produce detailed video pixels. Coordinating these capabilities without losing semantic control, visual fidelity, or training efficiency is difficult.
AI
Computer Vision
Diffusion Models
Image & Video Processing
Machine Learning
Multimodal Models
Reasoning
Video Generation
Latest papersRecent research connected to this question, newest first.Bernini: Latent Semantic Planning for Video DiffusionThe source concerns an MLLM-and-DiT video generation and editing system in which a planner predicts semantic representations in ViT embedding space and a renderer uses text features plus source VAE features for editing. It reports separate or lightly co-trained components and benchmark results, but does not specify deployment constraints beyond the described setup.research paper · Sep 2, 2026
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