by America Ortiz | Aug 31, 2023 | Machine Learning
The Score-Difference Flow for Implicit Generative Modeling We present the score difference (SD) between arbitrary target and source distributions as a flow that optimally reduces the Kullback-Leibler divergence between them. July 2023 Transactions on Machine Learning...
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...
by Melanie Cadalbert | Jun 4, 2023 | Rendering, Video Processing, Visual Computing
Continuous Landmark Detection with 3D Queries We propose the first facial landmark detection network that can predict continuous, unlimited landmarks, allowing to specify the number and location of the desired landmarks at inference time. Our method combines a simple...
