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Siyuan Liu

5 papers hereh-index 329 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.GR1
same name
  • Siyuan Liu — 20 papers, h 3
  • Siyuan Liu — 15 papers, h 11
  • Siyuan Liu — 15 papers, h 9
  • Siyuan Liu — 12 papers, h 5
  • Siyuan Liu — 10 papers, h 8
  • Siyuan Liu — 5 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

SoulX-FlashHead: Oracle-guided Generation of Infinite Real-time Streaming Talking Heads

Tan Yu, Qian Qiao, Le Shen +9

Achieving a balance between high-fidelity visual quality and low-latency streaming remains a formidable challenge in audio-driven portrait generation. Existing large-scale models o…

cs.CV2026

SoulX-FlashTalk: Real-Time Infinite Streaming of Audio-Driven Avatars via Self-Correcting Bidirectional Distillation

Le Shen, Qian Qiao, Tan Yu +7

Deploying massive diffusion models for real-time, infinite-duration, audio-driven avatar generation presents a significant engineering challenge, primarily due to the conflict betw…

cs.CV2025

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression

Dingcheng Zhen, Qian Qiao, Xu Zheng +6

We introduce TransDiff, the first image generation model that marries Autoregressive (AR) Transformer with diffusion models. In this joint modeling framework, TransDiff encodes lab…

cs.CV2025

Teller: Real-Time Streaming Audio-Driven Portrait Animation with Autoregressive Motion Generation

Dingcheng Zhen, Shunshun Yin, Shiyang Qin +5

In this work, we introduce the first autoregressive framework for real-time, audio-driven portrait animation, a.k.a, talking head. Beyond the challenge of lengthy animation times,…

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