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Jingsen Zhu

9 papers hereh-index 5222 citations10 works total

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

author position
  • first author3
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.GR2
same name
  • Jingsen Zhu — 3 papers
  • Jingsen Zhu — 1 paper
  • Jingsen Zhu — 1 paper
  • Jingsen Zhu — 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

activity
20222026
most citedSeal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields

4 citations · 10 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning

Zixuan Xie, Rengan Xie, Rong Li +8

In this work, we use multi-view aerial images to reconstruct the geometry, lighting, and material of facades using neural signed distance fields (SDFs). Without the requirement of…

cs.GR2023★ 1 cited

FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion

Zhihua Zhong, Jingsen Zhu, Yuxin Dai +5

The workload of real-time rendering is steeply increasing as the demand for high resolution, high refresh rates, and high realism rises, overwhelming most graphics cards. To mitiga…

cs.CV2023★ 4 cited

Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields

Xiangyu Wang, Jingsen Zhu, Qi Ye +4

With the popularity of implicit neural representations, or neural radiance fields (NeRF), there is a pressing need for editing methods to interact with the implicit 3D models for t…

cs.CV2023★ 1 cited

I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs

Jingsen Zhu, Yuchi Huo, Qi Ye +8

In this work, we present I2-SDF, a new method for intrinsic indoor scene reconstruction and editing using differentiable Monte Carlo raytracing on neural signed distance fields…

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