Text2Sign

Text2Sign is the public implementation behind the IEEE Access article of the same name. The repository provides a PyTorch training and inference path for short sign-language clips generated from text, using a frozen CLIP text encoder, a 3D backbone, factorized spatiotemporal attention, and DDIM sampling.

The design target is a single NVIDIA L4 GPU rather than a multi-node cluster. Evaluation uses a signer-disjoint How2Sign split so that appearance memorization is harder to confuse with text-conditioned motion.

• Paper: IEEE Access and arXiv:2607.13164
• Code: github.com/xiaruize0911/text2sign
• Checkpoint: huggingface.co/xiaruize/text2sign