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LiveAct

Soul-AILab

**SoulX-LiveAct** presents a novel framework that enables **lifelike, multimodal-controlled, high-fidelity** human animation video generation for real-time streaming interactions. (I) We identify diffusion-step-aligned neighbor latents as a key inductive bias for AR diffusion, providing a principled and theoretically grounded **Neighbor Forcing** for step-consistent AR video generation. (II) We introduce **ConvKV Memory**, a lightweight plug-in compression mechanism that enables constant-memory hour-scale video generation with negligible overhead.

Input Image→ Output Video
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Tan Yu*, Qian Qiao* ✉ , Le Shen*, Ke Zhou, Jincheng Hu, Dian Sheng, Bo Hu, Haoming Qin, Jun Gao, Changhai Zhou, Shunshun Yin, Siyuan Liu ✉ For a real-time interactive experience, scan the QR code to enter the event link. [2026.2.12~2026.3.11] If you are interested in leaving a message to our work, feel free to email yutan@soulapp.cn or qiaoqian@soulapp.cn or le.shen@mail.dhu.edu.cn or zhouke@soulapp.cn or liusiyuan@soulapp.cn

Input Image→ Output Video
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SoulX-FlashTalk: Real-Time Infinite Streaming of Audio-Driven Avatars via Self-Correcting Bidirectional Distillation - **2026.01.08** - We have released the inference code, and the model weights. - **2025.12.30** - We released **Project page** on SoulX-FlashTalk. - **2025.12.30** - We released **SoulX-FlashTalk Technical Report** on Arxiv and GitHub repository. **A 4-GPU version of SoulX-FlashTalk and a new open-source real-time streaming digital human model designed specifically for consumer-grade GPUs like 4090 etc.**

Input Image→ Output Video
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SoulX-Singer

Soul-AILab

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Input Text→ Output Audio
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Category pending
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