collaborators

5 papers

cs.CV2026

Abstract4D: A Large-Scale Dataset and Framework for Understanding the Visual Language of Abstract Art

Haowei Zhang, Yuanpei Zhao, Ji-Zhe Zhou +1

Artificial intelligence can classify artistic styles and synthesize images, but it still lacks a model of the visual language that gives art meaning. Abstract painting minimizes ob…

cs.CV2026

Towards Generalized Image Manipulation Localization via Score-based Model

Yunfei Wang, Bo Du, Zhe Yang +4

With the rapid evolution of synthetic media, Image Manipulation Localization (IML) has emerged as a critical component in multimedia forensics for ensuring the integrity of digital…

cs.CV2026

Dehallu3D: Hallucination-Mitigated 3D Generation from Single Image via Cyclic View Consistency Refinement

Xiwen Wang, Shichao Zhang, Hailun Zhang +5

Large 3D reconstruction models have revolutionized the 3D content generation field, enabling broad applications in virtual reality and gaming. Just like other large models, large 3…

cs.CV2026

Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction

Bo Du, Xiaochen Ma, Xuekang Zhu +8

Fake Image Detection (FID), aiming at unified detection across four image forensic subdomains, is critical in real-world forensic scenarios. Compared with ensemble approaches, mono…

cs.CV2024

Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer

Lei Su, Xiaochen Ma, Xuekang Zhu +3

Non-semantic features or semantic-agnostic features, which are irrelevant to image context but sensitive to image manipulations, are recognized as evidential to Image Manipulation…