paper-with-me

Papers

Non-Linear Phase-Shifting of Haar Wavelets for Run-Time All-Frequency Lighting

2017-05-20 · Mais Alnasser, Hassan Foroosh

This paper focuses on real-time all-frequency image-based rendering using an innovative solution for run-time computation of light transport. The approach is based on new results derived for non-linear phase shifting in the Haar wavelet domain. Although image-based methods for real-time rendering of dynamic glossy objects have been proposed, they do not truly scale to all possible frequencies and high sampling rates without trading storage, glossiness, or computational time, while varying both lighting and viewpoint. This is due to the fact that current approaches are limited to precomputed radiance transfer (PRT), which is prohibitively expensive in terms of memory requirements and real-time rendering when both varying light and viewpoint changes are required together with high sampling rates for high frequency lighting of glossy material. On the other hand, current methods cannot handle object rotation, which is one of the paramount issues for all PRT methods using wavelets. This latter problem arises because the precomputed data are defined in a global coordinate system and encoded in the wavelet domain, while the object is rotated in a local coordinate system. At the root of all the above problems is the lack of efficient run-time solution to the nontrivial problem of rotating wavelets (a non-linear phase-shift), which we solve in this paper.

📄 PDF Abstract BibTeX arXiv:1705.07272

Code (0)

등록된 구현이 없습니다.

Tasks

All

Similar Papers 제목 키워드 기반

Phase-Shifting Separable Haar Wavelets and Applications

2017-05-20 · Mais Alnasser, Hassan Foroosh

This paper presents a new approach for tackling the shift-invariance problem in the discrete Haar domain, without trading off any of its desirable properties, such as compression, separability, orthogonality, and symmetr…

Time-modulated arrays with Haar wavelets

2024-01-28 · R. Maneiro-Catoira, J. Brégains, José A. García-Naya, L. Castedo

Time-modulated arrays (TMAs) can effectively perform beamsteering over the first positive harmonic pattern by applying progressively delayed versions of stair-step approximations of a sine waveform to the antenna excitat…

KAN/H: Kolmogorov-Arnold Network using Haar-like bases

2025-11-13 · Susumu Katayama arxiv

Function approximation using Haar basis systems offers an efficient implementation when compressed via Patricia trees while retaining the flexibility of wavelets for both global and local fitting. However, like B-spline-…

Deep Haar Scattering Networks in Pattern Recognition: A promising approach

2018-11-29 · Fernando Fernandes Neto, Alemayehu Admasu Solomon, Rodrigo de Losso, Claudio Garcia 외

The aim of this paper is to discuss the use of Haar scattering networks, which is a very simple architecture that naturally supports a large number of stacked layers, yet with very few parameters, in a relatively broad s…

ClassificationGeneral ClassificationregressionTime Series+1

GHM Wavelet Transform for Deep Image Super Resolution

2022-04-16 · Ben Lowe, Hadi Salman, Justin Zhan

The GHM multi-level discrete wavelet transform is proposed as preprocessing for image super resolution with convolutional neural networks. Previous works perform analysis with the Haar wavelet only. In this work, 37 sing…

Image Super-ResolutionSuper-Resolution