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researcher

Yuming Jiang

32 papers hereh-index 204.5k citations35 works total

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

author position
  • first author8
  • middle author23

Across the 31 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CV26
  • cs.RO4
  • cs.AI1
  • cs.LG1
same name
  • Yuming Jiang — 34 papers, h 32
  • Yuming Jiang — 7 papers, h 30
  • Yuming Jiang — 3 papers
  • Yuming Jiang — 2 papers, h 7
  • Yuming Jiang — 1 paper, h 13

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
20212026
most citedLAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

34 citations · 104 across the 31 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

4 papers · 2 filters

cs.CV2022

Reference-based Image and Video Super-Resolution via C2-Matching

Yuming Jiang, Kelvin C. K. Chan, Xintao Wang +2

Reference-based Super-Resolution (Ref-SR) has recently emerged as a promising paradigm to enhance a low-resolution (LR) input image or video by introducing an additional high-resol…

cs.CV2022★ 13 cited

StyleFaceV: Face Video Generation via Decomposing and Recomposing Pretrained StyleGAN3

Haonan Qiu, Yuming Jiang, Hang Zhou +2

Realistic generative face video synthesis has long been a pursuit in both computer vision and graphics community. However, existing face video generation methods tend to produce lo…

cs.CV2022★ 15 cited

Text2Human: Text-Driven Controllable Human Image Generation

Yuming Jiang, Shuai Yang, Haonan Qiu +3

Generating high-quality and diverse human images is an important yet challenging task in vision and graphics. However, existing generative models often fall short under the high di…

cs.CV2022★ 5 cited

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

Jianglin Fu, Shikai Li, Yuming Jiang +5

Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry. Existing studies in this field mainly…

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