TIDE: Trajectory-Informed Skill Distillation for Efficient Text-to-Video Prompt Optimization
cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/Square-Zero-Labs/video-promp
Terminology
Sources
- PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting
- RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling
- Improving Text-to-Image Consistency via Automatic Prompt Optimization
- DeepSeek-V3 Technical Report
- Qwen3 Technical Report
- VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
- Wan: Open and Advanced Large-Scale Video Generative Models
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