◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Zhang Chen

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
ORCID 0000-0001-8582-1024
same name
  • Zhang Chen — 5 papers
  • Zhang Chen — 4 papers, h 3
  • Zhang Chen — 3 papers
  • Zhang Chen — 2 papers, h 10
  • Zhang Chen — 2 papers
  • Zhang Chen — 1 paper, h 17

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 citedHarnessing Low-Frequency Neural Fields for Few-Shot View Synthesis

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

collaborators

4 papers

cs.CV2024

PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance

Aoming Liu, Zhong Li, Zhang Chen +3

Immersive scene generation, notably panorama creation, benefits significantly from the adaptation of large pre-trained text-to-image (T2I) models for multi-view image generation. D…

cs.CV2023

Relit-NeuLF: Efficient Relighting and Novel View Synthesis via Neural 4D Light Field

Zhong Li, Liangchen Song, Zhang Chen +4

In this paper, we address the problem of simultaneous relighting and novel view synthesis of a complex scene from multi-view images with a limited number of light sources. We propo…

cs.CV2023

NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions

Zhang Chen, Zhong Li, Liangchen Song +4

We present a novel type of neural fields that uses general radial bases for signal representation. State-of-the-art neural fields typically rely on grid-based representations for s…

cs.CV2023★ 4 cited

Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis

Liangchen Song, Zhong Li, Xuan Gong +4

Neural Radiance Fields (NeRF) have led to breakthroughs in the novel view synthesis problem. Positional Encoding (P.E.) is a critical factor that brings the impressive performance…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.