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Jing Dong

13 papers hereh-index 6138 citations23 works total

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

author position
  • middle author5
  • last author7

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV13
same name
  • Jing Dong — 31 papers, h 28
  • Jing Dong — 16 papers, h 5
  • Jing Dong — 14 papers, h 13
  • Jing Dong — 9 papers, h 3
  • Jing Dong — 7 papers, h 7
  • Jing Dong — 6 papers, h 15

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
20232026
most citedRS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models

1 citations · 2 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 1 cited

RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models

Yue Jiang, Yueming Lyu, Tianxiang Ma +2

Recent text-conditioned image generation models have demonstrated an exceptional capacity to produce diverse and creative imagery with high visual quality. However, when pre-traine…

cs.CV2023

Learning Dense Correspondence for NeRF-Based Face Reenactment

Songlin Yang, Wei Wang, Yushi Lan +4

Face reenactment is challenging due to the need to establish dense correspondence between various face representations for motion transfer. Recent studies have utilized Neural Radi…

cs.CV2023

AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis

Dongze Li, Kang Zhao, Wei Wang +4

Audio-driven talking head synthesis is a promising topic with wide applications in digital human, film making and virtual reality. Recent NeRF-based approaches have shown superiori…

cs.CV2023

DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing

Yueming Lyu, Kang Zhao, Bo Peng +5

Text-guided image editing faces significant challenges when considering training and inference flexibility. Much literature collects large amounts of annotated image-text pairs to…

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