7 citations · 12 across the 6 of their papers we have counts for
7 papers · 1 filter
SignVerse-2M: A Two-Million-Clip Pose-Native Universe of 55+ Sign Languages
Sen Fang, Hongbin Zhong, Yanxin Zhang +2
Large-scale sign language resources usually pair RGB videos with text and support recognition, translation, and generation. However, RGB frames contain backgrounds, clothing, and o…
RAC: Rectified Flow Auto Coder
Sen Fang, Yalin Feng, Yanxin Zhang +6
In this paper, we propose a Rectified Flow Auto Coder (RAC) inspired by Rectified Flow to replace the traditional VAE: 1. It achieves multi-step decoding by applying the decoder to…
Stable Signer: Hierarchical Sign Language Generative Model
Sen Fang, Yalin Feng, Hongbin Zhong +2
Sign Language Production (SLP) is the process of converting the complex input text into a real video. Most previous works focused on the Text2Gloss, Gloss2Pose, Pose2Vid stages, an…
StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation
Sen Fang, Hongbin Zhong, Yalin Feng +2
New technologies such as Rectified Flow and Flow Matching have significantly improved the performance of generative models in the past two years, especially in terms of control acc…
SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Space
Sen Fang, Yalin Feng, Chunyu Sui +5
The complexity of Sign Language (SL) data processing brings many challenges. The current approach to recognition of SL signs aims to translate RGB sign language videos through pose…
SignLLM: Sign Language Production Large Language Models
Sen Fang, Chen Chen, Lei Wang +3
In this paper, we propose SignLLM, a multilingual Sign Language Production (SLP) large language model, which includes two novel multilingual SLP modes MLSF and Prompt2LangGloss tha…
SignDiff: Diffusion Model for American Sign Language Production
Sen Fang, Chunyu Sui, Yanghao Zhou +4
In this paper, we propose a dual-condition diffusion pre-training model named SignDiff that can generate human sign language speakers from a skeleton pose. SignDiff has a novel Fra…