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Jun-Yao Gao

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Preprint Sep 2026

MegaAvatar: Controllable Talking Avatar Generation

This report presents \textbf{MegaAvatar}, a controllable talking avatar generation framework built on top of the Wan2.2-TI2V-5B model. Compared with previous talking-avatar methods that mainly rely on audio or reference-image conditioning, we introduce additional SMPL-X-derived 3D guidance, enabling global control over...

Jun-Yao Gao, Si Liu, Wei-Dong Zhang et al. · 0 citations
Preprint Sep 2026

MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition

Image style is a highly abstract, human-constructed concept shaped by a range of visual factors and intrinsically entangled with content, yet a unified and explicit definition of image style remains lacking. In this work, we first discuss the fundamental question of what is style and then propose a hierarchical style d...

Jun-Yao Gao, Si Liu, Jiaxing Li et al. · 0 citations
Jul 2026

DailyBench: A Unified Benchmark for AI-Generated and Manipulated Images from Modern Generative Models

DailyBench is introduced, a high-quality unified benchmark for evaluating whether AI-generated image detectors can generalize across both modern full-image synthesis and object-level manipulation, and results show that existing detectors remain poorly generalized to realistic synthesis and manipulation.

Xin Jiang, Hao Tang, Junyao Gao et al. · 0 citations

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