arXiv (All)
open access
Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics
The ultimate goal of video generation is to satisfy a fundamental trilemma: achieving high visual quality, maintaining rigorous physical consistency, and enabling precise controllability. While recent models can maintain this balance in simple, isolated scenarios, we observe that this equilibrium is
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
- 4DStreamCtrl: Interactive Video Generation with Online 4D Control#1122481
- FloodDiffusion 2: Efficient and Path Controllable Streaming Motion Generation#1117879
- A Unified Conditional Flow for Motion Generation, Editing, and Intra-Structural Retargeting#677568
- A Unified Conditional Flow for Motion Generation, Editing, and Intra-Structural Retargeting#674369
- Recency Forcing: Bridging the Long-Horizon Gap in Autoregressive Video Generation#1014317
Record · ID 1117340
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