Research · Updated 16 Oct, 09:30 am IST
Temporal Specification Guidance improves ordering in text-to-video models
Why it matters for readers: Explains how models can be guided to respect time-based instructions using logic and attention, not extra classifiers.
- TSG represents ordering, timing, and persistence requirements as formal Temporal Logic specifications and scores traces of visual concept evidence, using differentiable quantitative semantics.1
- The framework uses attention traces and gradient-derived attention biases to construct a specification-guided denoising direction that augments classifier-free guidance (CFG).1
- This instantiation requires neither external concept classifiers nor backpropagation through the video transformer.1
- On a benchmark of 220 prompts spanning 11 categories of temporal constraints, TSG improves specification satisfaction accuracy over CFG by 9.5–20 percentage points across five models.1
- The method adds minimal memory overhead while providing a flexible interface for temporal specifications in video generation.1
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