23 papers
Fast Test-Time Refinement for Robust Learned Image Compression
Jiaming Liang, Chi-Man Pun, Weisi Lin
Learned image compression (LIC) has demonstrated remarkable rate-distortion (RD) performance in benign settings. However, the high representational capacity endowed by deep neural…
ETHead: Generating Expressive 3D Facial Animation and Head Movement from Speech
Jiu-Cheng Xie, Jiwang Zheng, Yongkang Xia +4
Generating expressive 3D talking heads solely from speech remains a significant challenge due to the scarcity of high-fidelity 3D data, which limits the modeling of complex emotion…
TIGA: Trajectory-Injected Generative Attack against Black-box AIGC Detectors
Xia Du, Zhuosen Bao, Zheng Lin +6
Recent diffusion models have achieved remarkable realism in facial image synthesis, posing growing challenges to artificial intelligence-generated content (AIGC) forensic detectors…
Effective Gaussian Management for High-fidelity Scene Reconstruction
Jiateng Liu, Hao Gao, Jiu-Cheng Xie +5
This paper proposes an effective Gaussian management framework for high-fidelity scene reconstruction of both appearance and geometry. Unlike recent Gaussian Splatting (GS) pipelin…
Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
Jiaming Liang, Chi-Man Pun, Weisi Lin +1
Learned image compression (LIC) integrates deep neural networks (DNNs) to map high-dimensional images into compact latent representations, reducing redundancy and achieving superio…
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
Weiwei Zhuang, Wangze Xie, Qi Zhang +9
Adversarial attacks pose a severe threat to the reliability of deep learning models in remote sensing (RS) image classification. Most existing methods rely on direct pixel-wise per…