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A. Habibian

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Preprint Jul 2026

Track the Noise, Move the World:3D-Grounded Motion-Consistent Noise for Controllable Video Generation

UniCaMo is presented, a unified framework that enables simultaneous control of object trajectories and camera viewpoints by directly constructing the input noise of the diffusion model and achieves state-of-the-art results in both video quality and motion controllability on standard controllable video generation benchmarks.

Long Vu, T. Ngô, Animesh Karnewar et al. · 0 citations
Preprint Jul 2026

MobileWan: Closing the Quality Gap for Mobile Video Diffusion

MobileWan becomes the first 5B-scale video diffusion model deployable on a commercial mobile device and proposes a learnable attention head pruning method based on binary per-head gates optimized end-to-end using a noise-biased sparsity objective and distillation-based finetuning.

Mohsen Ghafoorian, Denis Korzhenkov, Adil Karjauv et al. · 1 citation