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Junzhe Zhang

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
ORCID 0000-0003-1931-8046
same name
  • Junzhe Zhang — 3 papers
  • Junzhe Zhang — 3 papers
  • Junzhe Zhang — 2 papers
  • Junzhe Zhang — 1 paper, h 1
  • Junzhe Zhang — 1 paper
  • Junzhe Zhang — 1 paper

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 citedGenerative Diffusion Prior for Unified Image Restoration and Enhancement

10 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields

Junzhe Zhang, Yushi Lan, Shuai Yang +5

In this paper, we address the challenging problem of 3D toonification, which involves transferring the style of an artistic domain onto a target 3D face with stylized geometry and…

cs.CV2023

Variational Relational Point Completion Network for Robust 3D Classification

Liang Pan, Xinyi Chen, Zhongang Cai +4

Real-scanned point clouds are often incomplete due to viewpoint, occlusion, and noise, which hampers 3D geometric modeling and perception. Existing point cloud completion methods t…

cs.CV2023★ 10 cited

Generative Diffusion Prior for Unified Image Restoration and Enhancement

Ben Fei, Zhaoyang Lyu, Liang Pan +5

Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training,…

cs.CV2022

Monocular 3D Object Reconstruction with GAN Inversion

Junzhe Zhang, Daxuan Ren, Zhongang Cai +3

Recovering a textured 3D mesh from a monocular image is highly challenging, particularly for in-the-wild objects that lack 3D ground truths. In this work, we present MeshInversion,…

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