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Lei Zhao

4 papers hereh-index 4330 citations7 works total

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

author position
  • middle author4

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

fields
  • cs.CV4
same name
  • Lei Zhao — 178 papers, h 48
  • Lei Zhao — 77 papers
  • Lei Zhao — 30 papers
  • Lei Zhao — 23 papers
  • Lei Zhao — 13 papers
  • Lei Zhao — 13 papers

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 citedTSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer

21 citations · 21 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt

Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin +9

Artistic style transfer aims to transfer the learned artistic style onto an arbitrary content image, generating artistic stylized images. Existing generative adversarial network-ba…

cs.CV2024

Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation

Tianyi Chu, Wei Xing, Jiafu Chen +5

Existing generative adversarial network (GAN) based conditional image generative models typically produce fixed output for the same conditional input, which is unreasonable for hig…

cs.CV2024

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Jiafu Chen, Wei Xing, Jiakai Sun +7

3D scene stylization refers to transform the appearance of a 3D scene to match a given style image, ensuring that images rendered from different viewpoints exhibit the same style a…

cs.CV2023★ 21 cited

TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer

Haibo Chen, Lei Zhao, Jun Li +1

Artistic style transfer aims to create new artistic images by rendering a given photograph with the target artistic style. Existing methods learn styles simply based on global stat…

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