by America Ortiz | May 8, 2024 | Machine Learning
CADS: Unleashing the Diversity of Diffusion Models Through Condition-Annealed Sampling Our sampling strategy anneals the conditioning signal by adding scheduled, monotonically decreasing Gaussian noise to the conditioning vector during inference to balance diversity...
by Martina Megaro | Mar 24, 2020 | Animation, AR/VR, Visual Computing
Rig-space Neural Rendering Our idea is to render the character in many different poses and views, and to train a deep neural network to render high resolution images, from the rig parameters directly. Marc 24, 2020arxiv.org Authors Dominik Borer...
