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Zongjing Fu

1 accepted papers

2026

GeoRK2: Geometry-Guided Runge-Kutta Integration for Diffusion Transformer Acceleration

CVPR 2026

Diffusion transformer models deliver state-of-the-art image synthesis quality but suffer from prohibitively slow iterative sampling. Although reducing sampling steps accelerates inference, aggressive step schedules often distort intermediate features and degrade sample fidelity. We present GeoRK2, a

Cited by 0SourceScholar