by America Ortiz | Oct 2, 2023 | Capture, Visual Computing
ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting In this paper, we target the application scenario of capturing high-fidelity assets for neural relighting in controlled studio conditions, but without requiring a dense light stage. Instead, we...
by America Ortiz | Aug 31, 2023 | Machine Learning
The Score-Difference Flow for Implicit Generative Modeling The SD flow defines an optimal path between arbitrary probability distributions and also provides a theoretical link between model classes that individually address the three challenges of the generative...
by Melanie Cadalbert | Jul 23, 2023 | Rendering, Video Processing, Visual Computing
Kernel-Based Frame Interpolation for Spatio-TemporallyAdaptive Rendering We propose a frame interpolation method for rendered content with two key features. First, a kernel based frame synthesis model which predicts the interpolated frame as a linear mapping of the...
by Martina Megaro | Jul 3, 2023 | Capture, Machine Learning, VFX
Graph-Based Synthesis for Skin Micro Wrinkles We present a novel graph-based simulation approach for generating micro wrinkle geometry on human skin, which can easily scale up to the micro-meter range and millions of wrinkles. July 3, 2023 Eurographics Symposium on...
by Melanie Cadalbert | Jun 26, 2023 | Rendering, Video Processing, Visual Computing
Deep Compositional Denoising on Frame Sequences Path tracing is the prevalent rendering algorithm in the animated movies and visual effects industry, thanks to its simplicity and ability to render physically plausible lighting effects. However, we must simulate...