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Preprint Oct 2026

Learning to Retrieve: Internalizing Memory Retrieval for Video World Models

Video world models aim to generate explorable, 3D-consistent scene videos conditioned on camera trajectories. Existing approaches often rely on external memory systems that explicitly retrieve previously observed content to mitigate scene drift during long-horizon generation. However, these auxiliary memory pathways op...

Jia-Kui Hu, Tai-Lai Chen, Yu-Qi Pan et al. · 0 citations
Preprint Aug 2026

Test-Time Scaling for Video Diffusion Models via Diagnosis-Guided Candidate Recycling

Recent video diffusion models have achieved remarkable generation quality, but high-fidelity results still largely depend on closed-source systems or costly large-scale infrastructure. Test-time scaling (TTS) offers a training-free way to improve lightweight generators by spending additional inference compute, yet exis...

Hangzhou He, Lun-Hao Duan, Shan-Shan Zhao et al. · 0 citations

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