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Chenfei Wu

31 papers hereh-index 233.5k citations44 works total

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

author position
  • first author5
  • middle author25

Across the 30 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • cs.CL5
  • cs.AI2
same name
  • Chenfei Wu — 13 papers, h 2
  • Chenfei Wu — 1 paper
  • Chenfei Wu — 1 paper, h 1

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 citedVisual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

189 citations · 388 across the 31 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition

Minheng Ni, Chenfei Wu, Huaying Yuan +6

With the advancement of generative models, the synthesis of different sensory elements such as music, visuals, and speech has achieved significant realism. However, the approach to…

cs.CV2024★ 4 cited

LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models

Gabriela Ben Melech Stan, Estelle Aflalo, Raanan Yehezkel Rohekar +7

In the rapidly evolving landscape of artificial intelligence, multi-modal large language models are emerging as a significant area of interest. These models, which combine various…

cs.CV2024★ 1 cited

Using Left and Right Brains Together: Towards Vision and Language Planning

Jun Cen, Chenfei Wu, Xiao Liu +6

Large Language Models (LLMs) and Large Multi-modality Models (LMMs) have demonstrated remarkable decision masking capabilities on a variety of tasks. However, they inherently opera…

cs.CV2024

StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis

Zecheng Tang, Chenfei Wu, Zekai Zhang +8

To leverage LLMs for visual synthesis, traditional methods convert raster image information into discrete grid tokens through specialized visual modules, while disrupting the model…

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