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researcher

Cheng Sun

NVIDIA

25 papers hereh-index 152.2k citations26 works total

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

author position
  • first author8
  • middle author17

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • cs.GR2
  • cs.AI1
  • cs.LG1
affiliations
  • NVIDIA
Homepage
same name
  • Cheng Sun — 5 papers, h 2
  • Cheng Sun — 4 papers, h 1
  • Cheng Sun — 4 papers, h 4
  • Cheng Sun — 4 papers, h 35
  • Cheng Sun — 3 papers, h 6
  • Cheng Sun — 3 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
20192026
most citedDirect Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

37 citations · 113 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

Multiview Regenerative Morphing with Dual Flows

Chih-Jung Tsai, Cheng Sun, Hwann-Tzong Chen

This paper aims to address a new task of image morphing under a multiview setting, which takes two sets of multiview images as the input and generates intermediate renderings that…

cs.GR2022★ 17 cited

Improved Direct Voxel Grid Optimization for Radiance Fields Reconstruction

Cheng Sun, Min Sun, Hwann-Tzong Chen

In this technical report, we improve the DVGO framework (called DVGOv2), which is based on Pytorch and uses the simplest dense grid representation. First, we re-implement part of t…

cs.CV2022

Self-supervised 360∘ Room Layout Estimation

Hao-Wen Ting, Cheng Sun, Hwann-Tzong Chen

We present the first self-supervised method to train panoramic room layout estimation models without any labeled data. Unlike per-pixel dense depth that provides abundant correspon…

cs.CV2022

Data Efficient 3D Learner via Knowledge Transferred from 2D Model

Ping-Chung Yu, Cheng Sun, Min Sun

Collecting and labeling the registered 3D point cloud is costly. As a result, 3D resources for training are typically limited in quantity compared to the 2D images counterpart. In…

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