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cs.CV2026

MorphUNet: Alpha-Controlled Biometric Transport for Diffusion-Based Face Morphing Attacks

Taimoor Rizwan, Sara Atito, Zhenhua Feng +2

Face morphing attacks create synthetic images verifiable against multiple identities, threatening border control and identity verification systems. We introduce MorphUNet, a diffus…

cs.CV2026

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models

Taimoor Rizwan, Sara Atito, Muhammad Awais +2

Generative diffusion models have revolutionized facial image synthesis, yet robust identity preservation in high resolution outputs remains a critical challenge. This issue is espe…

cs.CV2026

The Hidden Evolution of Disguised Visual Context inside the VLM

Wish Suharitdamrong, Tony Alex, Xiatian Zhu +2

Visual tokens enter Large Language Models (LLMs) as raw, foreign signals. How they are transformed into meaningful representations and interact with the language space depends enti…

cs.CV2026

Channel-Aware Probing for Multi-Channel Imaging

Umar Marikkar, Syed Sameed Husain, Muhammad Awais +1

Training and evaluating vision encoders on Multi-Channel Imaging (MCI) data remains challenging as channel configurations vary across datasets, preventing fixed-channel training an…

cs.CV2025

MAGIC-Talk: Motion-aware Audio-Driven Talking Face Generation with Customizable Identity Control

Fatemeh Nazarieh, Zhenhua Feng, Diptesh Kanojia +2

Audio-driven talking face generation has gained significant attention for applications in digital media and virtual avatars. While recent methods improve audio-lip synchronization,…

cs.CV2025

PortraitTalk: Towards Customizable One-Shot Audio-to-Talking Face Generation

Fatemeh Nazarieh, Zhenhua Feng, Diptesh Kanojia +2

Audio-driven talking face generation is a challenging task in digital communication. Despite significant progress in the area, most existing methods concentrate on audio-lip synchr…