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researcher

Yi Ren

53 papers hereh-index 326.8k citations69 works total

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

author position
  • first author8
  • middle author40
  • last author3

Across the 51 of 53 papers where every author was matched, so the position is known.

fields
  • eess.AS24
  • cs.CL9
  • cs.SD9
  • cs.CV8
  • cs.MM3
same name
  • Yi Ren — 30 papers, h 10
  • Yi Ren — 20 papers, h 11
  • Yi Ren — 18 papers, h 9
  • Yi Ren — 11 papers, h 10
  • Yi Ren — 11 papers, h 4
  • Yi Ren — 8 papers, h 2

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

activity
20192026
most citedFastSpeech 2: Fast and High-Quality End-to-End Text to Speech

515 citations · 1.2k across the 53 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

4 papers · 2 filters

cs.CV2023

C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model

Longbin Ji, Pengfei Wei, Yi Ren +3

Co-speech gesture generation is crucial for automatic digital avatar animation. However, existing methods suffer from issues such as unstable training and temporal inconsistency, p…

cs.CV2023

Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis

Zhenhui Ye, Ziyue Jiang, Yi Ren +5

We are interested in a novel task, namely low-resource text-to-talking avatar. Given only a few-minute-long talking person video with the audio track as the training data and arbit…

cs.CV2023★ 2 cited

Detector Guidance for Multi-Object Text-to-Image Generation

Luping Liu, Zijian Zhang, Yi Ren +3

Diffusion models have demonstrated impressive performance in text-to-image generation. They utilize a text encoder and cross-attention blocks to infuse textual information into ima…

cs.CV2023★ 34 cited

GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis

Zhenhui Ye, Ziyue Jiang, Yi Ren +3

Generating photo-realistic video portrait with arbitrary speech audio is a crucial problem in film-making and virtual reality. Recently, several works explore the usage of neural r…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.