Search Results for author: Anton Kaplanyan

Found 5 papers, 3 papers with code

Deep Appearance Prefiltering

no code implementations8 Nov 2022 Steve Bako, Pradeep Sen, Anton Kaplanyan

The goal of an ideal level of detail (LoD) method is to make rendering costs independent of the 3D scene complexity, while preserving the appearance of the scene.

DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks

1 code implementation4 Mar 2021 Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Joerg H. Mueller, Chakravarty R. Alla Chaitanya, Anton Kaplanyan, Markus Steinberger

In this work, we bring compact neural representations closer to practical rendering of synthetic content in real-time applications, such as games and virtual reality.

Neural supersampling for real-time rendering

1 code implementation ACM Transactions on Graphics 2020 Lei Xiao, Salah Nouri, Matt Chapman, Alexander Fix, Douglas Lanman, Anton Kaplanyan

Due to higher resolutions and refresh rates, as well as more photorealistic effects, real-time rendering has become increasingly challenging for video games and emerging virtual reality headsets.

Video Super-Resolution

Inverse Path Tracing for Joint Material and Lighting Estimation

no code implementations17 Mar 2019 Dejan Azinović, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner

We introduce Inverse Path Tracing, a novel approach to jointly estimate the material properties of objects and light sources in indoor scenes by using an invertible light transport simulation.

Lighting Estimation Retrieval

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