This page tracks the new paper links made to my list of EGSR 2020 papers.
Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
September 28, 2020
- Practical Measurement and Reconstruction of Spectral Skin Reflectance
July 9, 2020
- Temporal Normal Distribution Functions
- Temporal Sample Reuse for Next Event Estimation and Path Guiding for Real-Time Path Tracing
July 7, 2020
- An Adaptive BRDF Fitting Metric
- Practical Product Sampling by Fitting and Composing Warps
July 6, 2020
- High-Resolution Neural Face Swapping for Visual Effects
- Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupevised Generative Adversarial Network
- Temporal Normal Distribution Functions
- Temporal Sample Reuse for Next Event Estimation and Path Guiding for Real-Time Path Tracing
- Neural Denoising with Layer Embeddings
July 1, 2020
June 30, 2020
- All papers this year are available on the Eurographics Digital library (direct link to CGF 39-Issue 4)
- Adaptive Caustics Rendering in Production with Photon Guiding
- A Scalable and Production Ready Sky and Atmosphere Rendering Technique
- Adaptive Matrix Completion for Fast Visibility Computations with Many Lights Rendering
- Semi-Procedural Textures Using Point Process Texture Basis Functions
June 17, 2020
- Guided Fine-Tuning for Large-Scale Material Transfer
- Practical Product Path Guiding
- Real-time Monte Carlo Denoising with the Neural Bilateral Grid
June 16, 2020
- Multi-Scale Appearance Modeling of Granular Materials with Continuously Varying Grain Properties
- Can't Invert the CDF? The Triangle-Cut Parameterization of the Region under the Curve
- A Comprehensive Theory and Variational Framework for Anti-aliasing Sampling Patterns
- Semi-Procedural Textures Using Point Process Texture Basis Functions
June 11, 2020
- Deep Kernel Density Estimation for Photon Mapping
June 10, 2020
- Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupevised Generative Adversarial Network
June 9, 2020
- Photorealistic Material Editing Through Direct Image Manipulation
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kesen.huang@gmail.com