SignLLM
PaidMultilingual Sign Language Production Large Language Model
About SignLLM
SignLLM is a multilingual Sign Language Production (SLP) large language model that generates sign language gestures from text inputs. It introduces two novel SLP modes: MLSF (Multilingual Sign Language Framework) and Prompt2LangGloss, enabling sign language production from query texts and question-style prompts. The model incorporates a reinforcement learning loss and a Priority Learning Channel module to accelerate training by improving data sampling. For training, a comprehensive multilingual dataset called Prompt2Sign is built from public data covering American Sign Language (ASL) and seven other sign languages (DGS, KSL, DSGS, LSF-CH, LIS-CH, LSA, TSL). SignLLM achieves state-of-the-art performance across eight sign languages and is developed in collaboration with commercial companies (not open-sourced).
Key Features
Pros & Cons
- Multilingual support covering 8 sign languages
- Novel RL-based components improve training efficiency
- State-of-the-art results on SLP benchmarks
- Standardized compressed pose format for easy training
- Demo videos show high-quality gesture generation
- Not open-sourced (developed with commercial partners)
- Pricing model requires contacting the team
- Currently seems limited to research/academic context
- No publicly available API or code repository
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