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Bowen Chen

5 papers hereh-index 278 citations7 works total

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 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI1
same name
  • Bowen Chen — 11 papers, h 6
  • Bowen Chen — 8 papers, h 12
  • Bowen Chen — 7 papers, h 3
  • Bowen Chen — 7 papers, h 2
  • Bowen Chen — 5 papers, h 2
  • Bowen Chen — 4 papers, h 6

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 citedThe Amazon Nova Family of Models: Technical Report and Model Card

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models

Bowen Chen, Shreshth Saini, Balu Adsumilli +1

Pretrained diffusion models generate realistic images but are constrained by the statistical biases of their training data, limiting their ability to produce high dynamic range (HD…

cs.CV2026

Seeing Beyond 8bits: Subjective and Objective Quality Assessment of HDR-UGC Videos

Shreshth Saini, Bowen Chen, Neil Birkbeck +3

High Dynamic Range (HDR) user-generated (UGC) videos are rapidly proliferating across social platforms, yet most perceptual video quality assessment (VQA) systems remain tailored t…

cs.CV2026

RegionRoute: Regional Style Transfer with Diffusion Model

Bowen Chen, Jake Zuena, Alan C. Bovik +1

Precise spatial control in diffusion-based style transfer remains challenging. This challenge arises because diffusion models treat style as a global feature and lack explicit spat…

cs.CV2024

Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusion

Fan Yang, Jianfeng Zhang, Yichun Shi +7

Benefiting from the rapid development of 2D diffusion models, 3D content generation has witnessed significant progress. One promising solution is to finetune the pre-trained 2D dif…

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