Research map / Image generation / Autoregressive and latent generation
Compositional Generative Modeling from Decentralized Data
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective (ICLR 2025 · similarity 0.86)
- Position: Compositional Generative Modeling: A Single Model is Not All You Need (ICML 2024 · similarity 0.85)
- How Compositional Generalization and Creativity Improve as Diffusion Models are Trained (ICML 2025 · similarity 0.85)
- Stability and Diversity of Networked Self-Consuming Generative Ecosystems (NeurIPS 2026 · similarity 0.85)
- How Diffusion Models Learn to Factorize and Compose (NeurIPS 2024 · similarity 0.85)
- Variational Flow Matching for Graph Generation (NeurIPS 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.