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Jian Wang

8 papers hereh-index 3206 citations10 works total

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

author position
  • middle author4
  • last author3

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

fields
  • cs.CV4
  • cs.GR3
  • cs.LG1
same name
  • Jian Wang — 38 papers, h 27
  • Jian Wang — 34 papers, h 41
  • Jian Wang — 28 papers, h 30
  • Jian Wang — 22 papers, h 21
  • Jian Wang — 22 papers, h 9
  • Jian Wang — 20 papers, h 34

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
20242026
most citedMatting by Generation

4 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

RegHead: Non-Humanoid Head Blendshapes via Feed-Forward Registration

Jiahao Luo, Hao Zhang, Jianqi Chen +9

We present RegHead, a framework for constructing semantic blendshape sets for animatable non-humanoid head avatars. With a fixed expression vocabulary, semantic blendshapes provide…

cs.CV2026

MGPC: Multimodal Network for Generalizable Point Cloud Completion With Modality Dropout and Progressive Decoding

Jiangyuan Liu, Yuhao Zhao, Hongxuan Ma +3

Point cloud completion aims to recover complete 3D geometry from partial observations caused by limited viewpoints and occlusions. Existing learning-based works, including 3D Convo…

cs.CV2024

ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Bohao Peng, Jian Wang, Yuechen Zhang +3

Diffusion models have demonstrated remarkable and robust abilities in both image and video generation. To achieve greater control over generated results, researchers introduce addi…

cs.CV2024★ 4 cited

Matting by Generation

Zhixiang Wang, Baiang Li, Jian Wang +4

This paper introduces an innovative approach for image matting that redefines the traditional regression-based task as a generative modeling challenge. Our method harnesses the cap…

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