Conditional Video Generation Taxonomy

via “conditional-video-generation-taxonomy”

[CSUR] A Survey on Video Diffusion Models

Unique: Implements a four-way taxonomy of conditioning modalities (pose, motion, sound, multi-modal) rather than treating conditional generation as a monolithic category. This enables practitioners to quickly identify which conditioning approach matches their input data and use case, and to discover methods like AnimateAnyone that specialize in specific modalities.

vs others: More granular than generic 'conditional video generation' categorization; provides modality-specific organization that maps directly to practitioner input data (pose sequences, audio, motion vectors) rather than requiring inference about which method accepts which inputs