SignFLIP: A Unified Model for Sign Language Translation and Generation via Stage-wise Alignment at Scale

arXiv:2609.35225 · cs.CL, cs.CV, cs.MM · Submitted 2026-09-28 · Read on arXiv

cs.CL, cs.CV, cs.MM

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/open-mmlab/mmpose

Terminology

• Alignment — 18× in this paper · explained in 1 episode
• Transformer — 15× in this paper · explained in 2 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Ablation study — 9× in this paper · explained in 1 episode
• Accuracy — 8× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• Transferability — 7× in this paper · explained in 4 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Distillation — 4× in this paper · explained in 2 episodes
• Downstream Tasks — 4× in this paper · explained in 2 episodes
• Unified Framework — 4× in this paper · explained in 5 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Chinese Sign Language — 2× in this paper
• Embeddings — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Decode — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose
• Uni-Sign: Toward Unified Sign Language Understanding at Scale
• Qwen3 Technical Report
• T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text

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