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cs.CV2026
MiMaAlign: Hierarchical Micro-Macro Alignment for Physically Plausible Video Generation
Yansong Liu, Litong Gong, Weijie Li +2
Text-to-video (T2V) diffusion models have made remarkable progress in generating high-fidelity visuals, yet their outputs still often exhibit physically implausible phenomena, incl…
cs.CV2025
RISE-T2V: Rephrasing and Injecting Semantics with LLM for Expansive Text-to-Video Generation
Xiangjun Zhang, Litong Gong, Yinglin Zheng +6
Most text-to-video(T2V) diffusion models depend on pre-trained text encoders for semantic alignment, yet they often fail to maintain video quality when provided with concise prompt…
cs.CV2024
MVPbev: Multi-view Perspective Image Generation from BEV with Test-time Controllability and Generalizability
Buyu Liu, Kai Wang, Yansong Liu +3
This work aims to address the multi-view perspective RGB generation from text prompts given Bird-Eye-View(BEV) semantics. Unlike prior methods that neglect layout consistency, lack…