Search Results for "NeurIPS 2020: A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model"

NeurIPS 2020: A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

Investigating Loss Functions for Extreme Super-Resolution

[NeurIPS 2020] GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network

Perceptual Losses (Q&A) | Lecture 29 (Part 2) | Applied Deep Learning (Supplementary)

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution 2019-2020

Deep active inference agents using Monte Carlo methods, presentation for NeurIPS 2020

[NeurIPS 2020] Causal Discovery in Physical Systems from Videos

[NeurIPS 2020] Generative 3D Part Assembly via Dynamic Graph Learning

Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction (NeurIPS 2020)

Neural Non-Rigid Tracking (NeurIPS 2020)

DeepSVG (NeurIPS 2020 3min video)

NeurIPS 2020: One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers