5 papers · 1 filter
Fast and Memory-Efficient Wavelet Convolutions via I/O-Aware Reformulation
Amit Aflalo, Shahaf E. Finder, Roy Amoyal +2
Wavelet convolution (WTConv) has emerged as an increasingly popular drop-in replacement for standard convolutions, expanding a network's receptive field exponentially with the numb…
MACRO: Training-free Multi-plane Attention for Closeup Render Optimization
Nitzan Hodos, Roy Amoyal, Lior Fritz +3
Close-up rendering, zooming into a scene well beyond any training camera, is important for virtual production and interactive 3D content, yet remains an open challenge. 3D Gaussian…
Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment
Roy Amoyal, Oren Freifeld, Chaim Baskin
We present Gaussian Splatting Alignment (GSA), a novel method for aligning two independent 3D Gaussian Splatting (3DGS) models via a similarity transformation (rotation, translatio…
Gaussian Splashing: Direct Volumetric Rendering Underwater
Nir Mualem, Roy Amoyal, Oren Freifeld +1
In underwater images, most useful features are occluded by water. The extent of the occlusion depends on imaging geometry and can vary even across a sequence of burst images. As a…
Wavelet Convolutions for Large Receptive Fields
Shahaf E. Finder, Roy Amoyal, Eran Treister +1
In recent years, there have been attempts to increase the kernel size of Convolutional Neural Nets (CNNs) to mimic the global receptive field of Vision Transformers' (ViTs) self-at…