40-Issue 4
Browse by
Saarbrücken, Germany & Virtual | 29 June – 2 July 2021
(Rendering - DL only track is available here.)
Denoising
Deep Compositional Denoising for High-quality Monte Carlo Rendering
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Real-time Monte Carlo Denoising with Weight Sharing Kernel Prediction Network
Neural Rendering
Point-Based Neural Rendering with Per-View Optimization
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle
Networks
Integration
Q-NET: A Network for Low-dimensional Integrals of Neural Proxies
Image and Video Editing
Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs
PosterChild: Blend-Aware Artistic Posterization
Differentiable Rendering
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
High Performance Rendering
Rendering Point Clouds with Compute Shaders and Vertex Order Optimization
Moving Basis Decomposition for Precomputed Light Transport
Path Tracing, Monte Carlo Rendering
Optimised Path Space Regularisation
Material Models
An Analytic BRDF for Materials with Spherical Lambertian Scatterers
A Combined Scattering and Diffraction Model for Elliptical Hair Rendering
Faces and Body
Deep Portrait Lighting Enhancement with 3D Guidance
Recent Submissions
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Deep Portrait Lighting Enhancement with 3D Guidance
(The Eurographics Association and John Wiley & Sons Ltd., 2021)Despite recent breakthroughs in deep learning methods for image lighting enhancement, they are inferior when applied to portraits because 3D facial information is ignored in their models. To address this, we present a novel ... -
A Combined Scattering and Diffraction Model for Elliptical Hair Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2021)Realistic hair rendering relies on fiber scattering models. These models are based on either ray tracing or on full wavepropagation through the hair fiber. Ray tracing can model most of the scattering phenomenon observed ... -
An Analytic BRDF for Materials with Spherical Lambertian Scatterers
(The Eurographics Association and John Wiley & Sons Ltd., 2021)We present a new analytic BRDF for porous materials comprised of spherical Lambertian scatterers. The BRDF has a single parameter: the albedo of the Lambertian particles. The resulting appearance exhibits strong back ... -
Optimised Path Space Regularisation
(The Eurographics Association and John Wiley & Sons Ltd., 2021)We present Optimised Path Space Regularisation (OPSR), a novel regularisation technique for forward path tracing algorithms. Our regularisation controls the amount of roughness added to materials depending on the type of ... -
Moving Basis Decomposition for Precomputed Light Transport
(The Eurographics Association and John Wiley & Sons Ltd., 2021)We study the problem of efficient representation of potentially high-dimensional, spatially coherent signals in the context of precomputed light transport. We present a basis decomposition framework, Moving Basis Decomposition ... -
Rendering Point Clouds with Compute Shaders and Vertex Order Optimization
(The Eurographics Association and John Wiley & Sons Ltd., 2021)In this paper, we present several compute-based point cloud rendering approaches that outperform the hardware pipeline by up to an order of magnitude and achieve significantly better frame times than previous compute-based ... -
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2021)Reconstructing the shape and appearance of real-world objects using measured 2D images has been a long-standing inverse rendering problem. In this paper, we introduce a new analysis-by-synthesis technique capable of producing ... -
PosterChild: Blend-Aware Artistic Posterization
(The Eurographics Association and John Wiley & Sons Ltd., 2021)Posterization is an artistic effect which converts continuous images into regions of constant color with smooth boundaries, often with an artistically recolored palette. Artistic posterization is extremely time-consuming ... -
Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs
(The Eurographics Association and John Wiley & Sons Ltd., 2021)Image-Based Rendering allows users to easily capture a scene using a single camera and then navigate freely with realistic results. However, the resulting renderings are completely static, and dynamic effects - such as ... -
Q-NET: A Network for Low-dimensional Integrals of Neural Proxies
(The Eurographics Association and John Wiley & Sons Ltd., 2021)Integrals of multidimensional functions are often estimated by averaging function values at multiple locations. The use of an approximate surrogate or proxy for the true function is useful if repeated evaluations are ... -
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
(The Eurographics Association and John Wiley & Sons Ltd., 2021)The recent research explosion around implicit neural representations, such as NeRF, shows that there is immense potential for implicitly storing high-quality scene and lighting information in compact neural networks. ... -
Point-Based Neural Rendering with Per-View Optimization
(The Eurographics Association and John Wiley & Sons Ltd., 2021)There has recently been great interest in neural rendering methods. Some approaches use 3D geometry reconstructed with Multi-View Stereo (MVS) but cannot recover from the errors of this process, while others directly learn ... -
Real-time Monte Carlo Denoising with Weight Sharing Kernel Prediction Network
(The Eurographics Association and John Wiley & Sons Ltd., 2021)Real-time Monte Carlo denoising aims at removing severe noise under low samples per pixel (spp) in a strict time budget. Recently, kernel-prediction methods use a neural network to predict each pixel's filtering kernel and ... -
Deep Compositional Denoising for High-quality Monte Carlo Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2021)We propose a deep-learning method for automatically decomposing noisy Monte Carlo renderings into components that kernelpredicting denoisers can denoise more effectively. In our model, a neural decomposition module learns ... -
Rendering 2021 CGF 40-4: Frontmatter
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
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