zero-shot-motion-generation

Generate diverse human motions from text descriptions using million-scale datasets and wavelet-enhanced quantization. Achieves state-of-the-art zero-shot generalization on out-of-domain motions, compositional descriptions, and complex choreography through efficient tokenization and scalable transformer-decoder architectures.

Independent GitHub snapshot · Automated classification · Original documentation governs