arXiv (All)
open access
Physically Plausible Video Generation via Visual-Semantic Chain-of-Events Conditioning
Physically Plausible Video Generation (PPVG) seeks to synthesize videos consistent with physical principles, yet remains challenging due to underspecified natural language conditioning. Advanced chain-of-thought (CoT) frameworks augment prompts with physical knowledge. However, such prompts describe
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Rethinking Memorization Mitigation in Diffusion Models: Reinforcing Text Conditioning#1156994
- IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation#303242
- IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training#819629
- IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training#809633
- When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation#974428
Record · ID 820079
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive