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Yuchen Fan

13 papers hereh-index 9428 citations18 works total

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

author position
  • middle author13

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.GR1
  • eess.IV1
same name
  • Yuchen Fan — 21 papers, h 8
  • Yuchen Fan — 9 papers, h 18
  • Yuchen Fan — 7 papers, h 13
  • Yuchen Fan — 7 papers, h 4
  • Yuchen Fan — 4 papers, h 5
  • Yuchen Fan — 3 papers, h 2

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
20232026
most citedMoVideo: Motion-Aware Video Generation with Diffusion Models

2 citations · 4 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 1 cited

PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram +4

3D reconstruction from a single-view is challenging because of the ambiguity from monocular cues and lack of information about occluded regions. Neural radiance fields (NeRF), whil…

eess.IV2023

Training Neural Networks on RAW and HDR Images for Restoration Tasks

Andrew Yanzhe Ke, Lei Luo, Xiaoyu Xiang +4

The vast majority of standard image and video content available online is represented in display-encoded color spaces, in which pixel values are conveniently scaled to a limited ra…

cs.CV2023★ 1 cited

Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models

Hai Wang, Xiaoyu Xiang, Yuchen Fan +1

Personalized text-to-image (T2I) synthesis based on diffusion models has attracted significant attention in recent research. However, existing methods primarily concentrate on cust…

cs.CV2023★ 2 cited

MoVideo: Motion-Aware Video Generation with Diffusion Models

Jingyun Liang, Yuchen Fan, Kai Zhang +3

While recent years have witnessed great progress on using diffusion models for video generation, most of them are simple extensions of image generation frameworks, which fail to ex…

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