EasyPBR: A Lightweight Physically-Based Renderer

12/06/2020
by   Radu Alexandru Rosu, et al.
0

Modern rendering libraries provide unprecedented realism, producing real-time photorealistic 3D graphics on commodity hardware. Visual fidelity, however, comes at the cost of increased complexity and difficulty of usage, with many rendering parameters requiring a deep understanding of the pipeline. We propose EasyPBR as an alternative rendering library that strikes a balance between ease-of-use and visual quality. EasyPBR consists of a deferred renderer that implements recent state-of-the-art approaches in physically based rendering. It offers an easy-to-use Python and C++ interface that allows high-quality images to be created in only a few lines of code or directly through a graphical user interface. The user can choose between fully controlling the rendering pipeline or letting EasyPBR automatically infer the best parameters based on the current scene composition. The EasyPBR library can help the community to more easily leverage the power of current GPUs to create realistic images. These can then be used as synthetic data for deep learning or for creating animations for academic purposes.

READ FULL TEXT

page 3

page 5

page 7

page 8

research
07/16/2019

RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction

In this paper, we present RayTracer.jl, a renderer in Julia that is full...
research
03/09/2019

LumiPath - Towards Real-time Physically-based Rendering on Embedded Devices

As the computational power of toady's devices increases, real-time physi...
research
03/22/2020

Rig-space Neural Rendering

Movie productions use high resolution 3d characters with complex proprie...
research
03/26/2016

How useful is photo-realistic rendering for visual learning?

Data seems cheap to get, and in many ways it is, but the process of crea...
research
04/20/2023

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

Neural radiance fields (NeRFs) enable novel view synthesis with unpreced...
research
04/23/2022

GAMORRA: An API-Level Workload Model for Rasterization-based Graphics Pipeline Architecture

The performance of applications that require frame rendering time estima...
research
08/10/2020

A New Abstraction for Internet QoE Optimization

A perennial quest in networking research is how to achieve higher qualit...

Please sign up or login with your details

Forgot password? Click here to reset