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cs.CV2026

Mirai: Autoregressive Visual Generation Needs Foresight

Yonghao Yu, Lang Huang, Zerun Wang +2

Autoregressive (AR) visual generators model images as sequences of discrete tokens and are trained with a next-token likelihood objective. This strict causal supervision optimizes…

cs.CV2025

CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution

Runyi Li, Bin Chen, Jian Zhang +1

Real-world image super-resolution is a critical image processing task, where two key evaluation criteria are the fidelity to the original image and the visual realness of the gener…

cs.CV2025

GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model

Runyi Li, Xuanyu Zhang, Chuhan Tong +2

With the advancement of AIGC technologies, the modalities generated by models have expanded from images and videos to 3D objects, leading to an increasing number of works focused o…

cs.CV2024

OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking

Xuanyu Zhang, Zecheng Tang, Zhipei Xu +5

With the rapid growth of generative AI and its widespread application in image editing, new risks have emerged regarding the authenticity and integrity of digital content. Existing…

cs.CV2024

FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Zhipei Xu, Xuanyu Zhang, Runyi Li +3

The rapid development of generative AI is a double-edged sword, which not only facilitates content creation but also makes image manipulation easier and more difficult to detect. A…