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Sign Language Production
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Sign Language Production (SLP) is the automatically translation from spoken language sentences into sign language sequences. Whilst Sign language Translation translates from sign to text, SLP is the opposite task from text to sign.
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Transformer-Based Framework for Greek Sign Language Production using Extended Skeletal Motion Representations
Beyond Words: AuralLLM and SignMST-C for Precise Sign Language Production and Bidirectional Accessibility
Linguistics-Vision Monotonic Consistent Network for Sign Language Production
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
Empowering Sign Language Communication: Integrating Sentiment and Semantics for Facial Expression Synthesis
MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production
A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
SignLLM: Sign Language Production Large Language Models
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder
Sign Stitching: A Novel Approach to Sign Language Production
A Data-Driven Representation for Sign Language Production
Select and Reorder: A Novel Approach for Neural Sign Language Production
Sign Language Production with Latent Motion Transformer
Neural Sign Actors: A diffusion model for 3D sign language production from text
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
Autoregressive Sign Language Production: A Gloss-Free Approach with Discrete Representations
SignDiff: Diffusion Model for American Sign Language Production
SDW-ASL: A Dynamic System to Generate Large Scale Dataset for Continuous American Sign Language
Changing the Representation: Examining Language Representation for Neural Sign Language Production
Neural Sign Reenactor: Deep Photorealistic Sign Language Retargeting
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model
Non-Autoregressive Sign Language Production via Knowledge Distillation
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production
All You Need In Sign Language Production
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
Sign Language Production: A Review
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses
Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video
Adversarial Training for Multi-Channel Sign Language Production
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language
Progressive Transformers for End-to-End Sign Language Production
BosphorusSign22k Sign Language Recognition Dataset
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