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Chunhua Shen

8 papers hereh-index 487 citations9 works total

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

author position
  • middle author3
  • last author4

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO4
same name
  • Chunhua Shen — 204 papers, h 98
  • Chunhua Shen — 143 papers, h 83
  • Chunhua Shen — 62 papers, h 19
  • Chunhua Shen — 18 papers, h 7
  • Chunhua Shen — 9 papers
  • Chunhua Shen — 6 papers, h 4

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 citedParagraph-to-Image Generation with Information-Enriched Diffusion Model

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation

Liyang Li, Wen Wang, Canyu Zhao +4

Recent advances in Diffusion Transformers (DiTs) have enabled high-quality joint audio-video generation, producing videos with synchronized audio within a single model. However, ex…

cs.CV2024

MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation

Weijia Wu, Mingyu Liu, Zeyu Zhu +6

Recent advancements in video generation models, like Stable Video Diffusion, show promising results, but primarily focus on short, single-scene videos. These models struggle with g…

cs.CV2024

VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-domain Generalization

Yuliang Liu, Mingxin Huang, Hao Yan +6

Text spotting, a task involving the extraction of textual information from image or video sequences, faces challenges in cross-domain adaption, such as image-to-image and image-to-…

cs.CV2023★ 1 cited

Paragraph-to-Image Generation with Information-Enriched Diffusion Model

Weijia Wu, Zhuang Li, Yefei He +6

Text-to-image (T2I) models have recently experienced rapid development, achieving astonishing performance in terms of fidelity and textual alignment capabilities. However, given a…

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