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Kun Zhou

8 papers hereh-index 5139 citations14 works total

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

author position
  • middle author8

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

fields
  • cs.CV7
  • cs.GR1
same name
  • Kun Zhou — 54 papers, h 46
  • Kun Zhou — 22 papers, h 10
  • Kun Zhou — 21 papers, h 11
  • Kun Zhou — 15 papers, h 11
  • Kun Zhou — 14 papers, h 12
  • Kun Zhou — 14 papers, h 7

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 citedGS^3: Efficient Relighting with Triple Gaussian Splatting

23 citations · 29 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 2 cited

MaterialPicker: Multi-Modal DiT-Based Material Generation

Xiaohe Ma, Valentin Deschaintre, Miloš Hašan +4

High-quality material generation is key for virtual environment authoring and inverse rendering. We propose MaterialPicker, a multi-modal material generator leveraging a Diffusion…

cs.CV2024

ARM: Appearance Reconstruction Model for Relightable 3D Generation

Xiang Feng, Chang Yu, Zoubin Bi +6

Recent image-to-3D reconstruction models have greatly advanced geometry generation, but they still struggle to faithfully generate realistic appearance. To address this, we introdu…

cs.CV2024★ 23 cited

GS^3: Efficient Relighting with Triple Gaussian Splatting

Zoubin Bi, Yixin Zeng, Chong Zeng +4

We present a spatial and angular Gaussian based representation and a triple splatting process, for real-time, high-quality novel lighting-and-view synthesis from multi-view point-l…

cs.CV2024

Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition

Xiaogang Xu, Kun Zhou, Tao Hu +4

Low-Light Video Enhancement (LLVE) seeks to restore dynamic or static scenes plagued by severe invisibility and noise. In this paper, we present an innovative video decomposition s…

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