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Yu Liu

13 papers hereh-index 7314 citations13 works total

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

author position
  • middle author11
  • last author2

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

fields
  • cs.CV12
  • cs.LG1
same name
  • Yu Liu — 49 papers, h 21
  • Yu Liu — 45 papers, h 32
  • Yu Liu — 22 papers, h 18
  • Yu Liu — 21 papers, h 11
  • Yu Liu — 16 papers, h 14
  • Yu Liu — 15 papers, h 21

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 citedFlashFace: Human Image Personalization with High-fidelity Identity Preservation

3 citations · 5 across the 11 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

4 papers · 2 filters

cs.CV2023

LivePhoto: Real Image Animation with Text-guided Motion Control

Xi Chen, Zhiheng Liu, Mengting Chen +4

Despite the recent progress in text-to-video generation, existing studies usually overlook the issue that only spatial contents but not temporal motions in synthesized videos are u…

cs.CV2023

Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following

Yutong Feng, Biao Gong, Di Chen +3

Existing text-to-image (T2I) diffusion models usually struggle in interpreting complex prompts, especially those with quantity, object-attribute binding, and multi-subject descript…

cs.CV2023

Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation

Siteng Huang, Biao Gong, Yutong Feng +4

This study focuses on a novel task in text-to-image (T2I) generation, namely action customization. The objective of this task is to learn the co-existing action from limited data a…

cs.CV2023

Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation

Biao Gong, Siteng Huang, Yutong Feng +3

Diffusion models have recently achieved remarkable progress in generating realistic images. However, challenges remain in accurately understanding and synthesizing the layout requi…

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