Abstract: Contemporary deep learning approaches for optical flow estimation continue to face persistent challenges in model interpretability, generalization capacity, and deployment efficiency, ...
Metallic effects on plastic surfaces have become standard in many industries, from automotive interiors and exteriors to toys ...
Abstract: The sparse optical flow method is a fundamental task in computer vision. However, its reliance on the assumption of constant environmental brightness constrains its applicability in high ...
UFM (Unified Flow & Matching, UniFlowMatch) is a simple, end-to-end trained transformer model that directly regresses pixel displacement images (flow) and can be applied concurrently to both optical ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results