Author

F. Porikli

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Preprint Oct 2026

HiPhy: Hierarchical Alignment for Physically-Plausible Multi-Principle Video Generation

Video generation models have achieved remarkable visual fidelity and have strong potential to become general-purpose world simulators. Despite this progress, they still fail to generate videos which adhere to laws of physics. The problem becomes even more apparent in realistic settings where multiple physical principle...

Tahira Kazimi, Shubhankar Borse, Munawar Hayat et al. · 0 citations

Preprint Aug 2026

MagnifiQ: Patch-aware Text Guided Progressive Upscaling for High-Resolution Image Restoration

MagnifiQ is introduced, an image restoration framework that progressively upscales and restores images across resolutions, e.g., from 1024x1024 to 4096x4096, and leverages a pre-trained text-to-image diffusion model such as SDXL and adapts it for more scalable high-resolution inference by replacing its original self-at...

M. Reddy, Yashesh Savani, Antoine Mercier 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