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Junteng Zheng

dblp:281/1421 · DBLP profile ↗
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5ranked-venue papers
0as first author
5since 2021 · last 2026
0000-0002-1389-7852ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 3 · 3 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 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%
Artificial intelligence
1 paper
Generative modeling · 100%

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

TopicWeightPapersLastEvidence papers
Visual content generation and editing › texture synthesis
solid texture synthesis
0.712023
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar? · IJCAI 2023
Visual content generation and editing
texture synthesis
0.712023
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar? · IJCAI 2023
Machine learning › Generative modeling
generative adversarial network
0.212023
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar? · IJCAI 2023

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

multi-scale discrimination · 1.3generative adversarial network · 1.3
YearPublicationVenuePosition
2026 RAISE: Reward-Aware Intrinsic Learning for Sparse Extrinsic Reward Reinforcement Learning
Wenhao Yue, Junteng Zheng
ICIC (2)2
2025 A Mechanistic Perspective of Face Perception Latency: Predictive Coding
William Pugsley, Junteng Zheng, Roxane J. Itier, Jeff Orchard
CogSci2
2025 AGTCN: An Adaptive Gating Approach in Spatiotemporal Convolutional Networks for Accurate Air Quality Prediction
Junteng Zheng, Boyuan Yan
ICIC (7)2
2025 NEEP-ADF: Neuro-encoded expression programming with automatically defined functions
Haoran Shan, Fengyang Sun, Lin Wang 0004, Shuangrong Liu, Houguan Zhu, Fenghui Gao, Junteng Zheng, Bo Yang 0001, Qinfei Li
Inf. Sci.8
2023 STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?
abstract
Solid texture synthesis (STS), an effective way to extend a 2D exemplar to a 3D solid volume, exhibits advantages in computational photography. However, existing methods generally fail to accurately learn arbitrary textures, which may result in the failure to synthesize solid textures with high fidelity. In this paper, we propose a novel generative adversarial nets-based framework (STS-GAN) to extend the given 2D exemplar to arbitrary 3D solid textures. In STS-GAN, multi-scale 2D texture discriminators evaluate the similarity between the given 2D exemplar and slices from the generated 3D texture, promoting the 3D texture generator synthesizing realistic solid textures. Finally, experiments demonstrate that the proposed method can generate high-fidelity solid textures with similar visual characteristics to the 2D exemplar.
Jifeng Guo 0002, Lin Wang 0004, Fanqi Li, Junteng Zheng, Bo Yang 0001
IJCAI6