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Bingxuan Li

4 papers hereh-index 232 citations5 works total

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.CV2
  • cs.GR1
  • physics.optics1
same name
  • Bingxuan Li — 23 papers, h 3
  • Bingxuan Li — 9 papers, h 4
  • Bingxuan Li — 9 papers, h 2
  • Bingxuan Li — 4 papers, h 4
  • Bingxuan Li — 2 papers, h 1
  • Bingxuan Li — 2 papers, h 4

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 citedImage-GS: Content-Adaptive Image Representation via 2D Gaussians

7 citations · 10 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Frequency-Adaptive Gaussian Grids for Efficient Image Representation

Anatolii Evdokimov, Stavros Diolatzis, Bingxuan Li +3

Neural representation has emerged as a powerful tool to mitigate the demand for increasingly higher-resolution images. However, a fundamental trade-off remains between structured (…

cs.GR2025★ 3 cited

Proxy Tracing: Unbiased Reciprocal Estimation for Optimized Sampling in BDPT

Fujia Su, Bingxuan Li, Qingyang Yin +2

Robust light transport algorithms, particularly bidirectional path tracing (BDPT), face significant challenges when dealing with specular or highly glossy involved paths. BDPT cons…

physics.optics2025

Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding

Bingxuan Li, Jiahao Wu, Yuan Xu +6

Depth foundation models (DFMs) offer strong learned priors for 3D perception from single RGB images but lack physical depth cues, leading to ambiguities in metric scale. We introdu…

cs.CV2024★ 7 cited

Image-GS: Content-Adaptive Image Representation via 2D Gaussians

Yunxiang Zhang, Bingxuan Li, Alexandr Kuznetsov +6

Neural image representations have emerged as a promising approach for encoding and rendering visual data. Combined with learning-based workflows, they demonstrate impressive trade-…

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