MetaCanvas accepted to NeurIPS 2026

A post announcing MetaCanvas’s acceptance to NeurIPS 2026 describes a method that lets multimodal large language models plan in spatial and spatiotemporal latent spaces. Learnable “canvas tokens” carry that planning into a diffusion model’s latent space. The author reports testing MetaCanvas on three diffusion backbones across six image and video tasks, and says it consistently beat global-conditioning baselines.