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20222026
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cs.CV2026

AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting

Dexu Zhu, Jiangnan Shao, Xiaofeng Wang +4

3D Gaussian Splatting (3DGS) has emerged as a powerful representation for high-fidelity rendering. However, existing assets often suffer from quality bottlenecks such as missing de…

cs.CV2026

Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching Models

Purui Bai, Junxian Duan, Pin Wang +4

Although diffusion-based real-world image restoration (Real-IR) has achieved remarkable progress, efficiently leveraging ultra-large-scale pre-trained text-to-image (T2I) models an…

cs.CV2025

Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification

Wenkui Yang, Jie Cao, Junxian Duan +1

Diffusion models like Stable Diffusion have become prominent in visual synthesis tasks due to their powerful customization capabilities, which also introduce significant security r…

cs.CV2025

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges

Junxian Duan, Jiyang Guan, Wenkui Yang +1

As generative artificial intelligence technologies like Stable Diffusion advance, visual content becomes more vulnerable to misuse, raising concerns about copyright infringement. V…

cs.CV2025

TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection

Wenkui Yang, Zhida Zhang, Xiaoqiang Zhou +2

The emergence and popularity of facial deepfake methods spur the vigorous development of deepfake datasets and facial forgery detection, which to some extent alleviates the securit…

cs.CV2022

Styleverse: Towards Identity Stylization across Heterogeneous Domains

Jia Li, Jie Cao, JunXian Duan +1

We propose a new challenging task namely IDentity Stylization (IDS) across heterogeneous domains. IDS focuses on stylizing the content identity, rather than completely swapping it…