StableMotion uses diffusion models for image motion estimation

Researchers have introduced StableMotion, a new framework that utilizes image diffusion models for motion estimation in image rectification tasks. The system repurposes a Stable Diffusion model to estimate motion, employing an Adaptive Ensemble Strategy to refine outputs and a one-step inference design to avoid performance degradation with increased sampling steps. StableMotion achieves state-of-the-art results on tasks like Stitched Image Rectangling and Rolling Shutter Correction, offering significant speedups over previous diffusion-based methods. AI

IMPACT This research could lead to more efficient and accurate image rectification techniques, potentially improving video processing and image editing tools.

RANK_REASON The cluster describes a new research paper detailing a novel method for motion estimation using diffusion models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• Adaptive Ensemble Strategy
• Hugging Face
• Rolling Shutter Correction
• Sampling Steps Disaster
• Stable Diffusion
• StableMotion
• Stitched Image Rectangling
• Ziyi Wang

• paper
• model release

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