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cs.CV2026
Test-Time Curriculum for Open-Set AIGC Detection
Yiqian Zhang, Zheyuan Gu, Xiangzhao Hao +8
AI-generated image detectors deployed in open-world environments inevitably face distribution shifts as new and stronger generative models continue to emerge. Although existing met…
cs.CV2025
Test-time Controllable Image Generation by Explicit Spatial Constraint Enforcement
Z. Zhang, B. Liu, J. Bao +3
Recent text-to-image generation favors various forms of spatial conditions, e.g., masks, bounding boxes, and key points. However, the majority of the prior art requires form-specif…
cs.CV2024
MVPbev: Multi-view Perspective Image Generation from BEV with Test-time Controllability and Generalizability
Buyu Liu, Kai Wang, Yansong Liu +3
This work aims to address the multi-view perspective RGB generation from text prompts given Bird-Eye-View(BEV) semantics. Unlike prior methods that neglect layout consistency, lack…