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Yuning Gong

dblp:316/2812 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
0000-0002-7697-1394ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visual content generation and editing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visual content generation and editing › video-to-video translation
stylized video generation
0.912025
FlowStyler: Artistic Video Stylization Via Transformation Fields Transports · ICCV 2025
Visual content generation and editing › style transfer
video style transfer
0.912025
FlowStyler: Artistic Video Stylization Via Transformation Fields Transports · ICCV 2025
Visual content generation and editing
style transfer
0.312025
FlowStyler: Artistic Video Stylization Via Transformation Fields Transports · ICCV 2025

Methods — techniques the papers use, named apart from their topics

transformation field transport · 0.9
YearPublicationVenuePosition
2025 FlowStyler: Artistic Video Stylization Via Transformation Fields Transports
Yuning Gong, Xiaohua Ren, Yuanjun Liao, Yanci Zhang
ICCV1
2022 A Real-Time Adaptive Ray Marching Method for Particle-Based Fluid Surface Reconstruction
Anlan Wang, Yuning Gong, Yanci Zhang
EGSR (ST)4
2022 A Second-Order Explicit Pressure Projection Method for Eulerian Fluid Simulation
abstract
Abstract In this paper, we propose a novel second‐order explicit midpoint method to address the issue of energy loss and vorticity dissipation in Eulerian fluid simulation. The basic idea is to explicitly compute the pressure gradient at the middle time of each time step and apply it to the velocity field after advection. Theoretically, our solver can achieve higher accuracy than the first‐order solvers at similar computational cost. On the other hand, our method is twice and even faster than the implicit second‐order solvers at the cost of a small loss of accuracy. We have carried out a large number of 2D, 3D and numerical experiments to verify the effectiveness and availability of our algorithm.
Junwei Jiang, XiangDa Shen, Yuning Gong, Zeng Fan, Yanli Liu 0002, Guanyu Xing, Xiaohua Ren, Yanci Zhang
Comput. Graph. Forum3