TY - JOUR
T1 - A Survey on Gradient-Domain Rendering
AU - Hua, Binh Son
AU - Gruson, Adrien
AU - Petitjean, Victor
AU - Zwicker, Matthias
AU - Nowrouzezahrai, Derek
AU - Eisemann, Elmar
AU - Hachisuka, Toshiya
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Monte Carlo methods for physically-based light transport simulation are broadly adopted in the feature film production, animation and visual effects industries. These methods, however, often result in noisy images and have slow convergence. As such, improving the convergence of Monte Carlo rendering remains an important open problem. Gradient-domain light transport is a recent family of techniques that can accelerate Monte Carlo rendering by up to an order of magnitude, leveraging a gradient-based estimation and a reformulation of the rendering problem as an image reconstruction. This state of the art report comprehensively frames the fundamentals of gradient-domain rendering, as well as the pragmatic details behind practical gradient-domain uniand bidirectional path tracing and photon density estimation algorithms. Moreover, we discuss the various image reconstruction schemes that are crucial to accurate and stable gradient-domain rendering. Finally, we benchmark various gradient-domain techniques against the state-of-the-art in denoising methods before discussing open problems.
AB - Monte Carlo methods for physically-based light transport simulation are broadly adopted in the feature film production, animation and visual effects industries. These methods, however, often result in noisy images and have slow convergence. As such, improving the convergence of Monte Carlo rendering remains an important open problem. Gradient-domain light transport is a recent family of techniques that can accelerate Monte Carlo rendering by up to an order of magnitude, leveraging a gradient-based estimation and a reformulation of the rendering problem as an image reconstruction. This state of the art report comprehensively frames the fundamentals of gradient-domain rendering, as well as the pragmatic details behind practical gradient-domain uniand bidirectional path tracing and photon density estimation algorithms. Moreover, we discuss the various image reconstruction schemes that are crucial to accurate and stable gradient-domain rendering. Finally, we benchmark various gradient-domain techniques against the state-of-the-art in denoising methods before discussing open problems.
KW - CCS Concepts
KW - •Computing methodologies → Ray tracing
UR - http://www.scopus.com/inward/record.url?scp=85067084314&partnerID=8YFLogxK
U2 - 10.1111/cgf.13652
DO - 10.1111/cgf.13652
M3 - Article
AN - SCOPUS:85067084314
SN - 0167-7055
VL - 38
SP - 455
EP - 472
JO - Computer Graphics Forum
JF - Computer Graphics Forum
IS - 2
ER -