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Jiang Bian

4 papers hereh-index 212.4k citations33 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
  • eess.AS1
same name
  • Jiang Bian — 26 papers, h 36
  • Jiang Bian — 22 papers
  • Jiang Bian — 16 papers, h 10
  • Jiang Bian — 16 papers, h 8
  • Jiang Bian — 14 papers, h 6
  • Jiang Bian — 12 papers, h 7

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

most citedNaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

20 citations · 20 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2026

Large Language Model-Powered Evolutionary Code Optimization on a Phylogenetic Tree

Leyi Zhao, Weijie Huang, Yitong Guo +3

Optimizing scientific computing algorithms for modern GPUs is a labor-intensive and iterative process involving repeated code modification, benchmarking, and tuning across complex…

cs.CV2024

Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement

Runyi Yu, Tianyu He, Ailing Zhang +6

We aim to edit the lip movements in talking video according to the given speech while preserving the personal identity and visual details. The task can be decomposed into two sub-p…

cs.CV2024

InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation

Yuchi Wang, Junliang Guo, Jianhong Bai +5

Recent talking avatar generation models have made strides in achieving realistic and accurate lip synchronization with the audio, but often fall short in controlling and conveying…

eess.AS2024★ 20 cited

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Zeqian Ju, Yuancheng Wang, Kai Shen +16

While recent large-scale text-to-speech (TTS) models have achieved significant progress, they still fall short in speech quality, similarity, and prosody. Considering speech intric…

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