Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
Video anomaly understanding (VAU) aims to automatically comprehend unusual
occurrences in videos thereby enabling various applications such as traffic surveillance and …
occurrences in videos thereby enabling various applications such as traffic surveillance and …
Real-time 3D-aware portrait video relighting
Synthesizing realistic videos of talking faces under custom lighting conditions and viewing
angles benefits various downstream applications like video conferencing. However most …
angles benefits various downstream applications like video conferencing. However most …
Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly
Recent advancements in video anomaly understanding (VAU) have opened the door to
groundbreaking applications in various fields, such as traffic monitoring and industrial …
groundbreaking applications in various fields, such as traffic monitoring and industrial …
Deep Learning-based Light Source Estimation from Face Images
P Hochhauser - 2024 - repositum.tuwien.at
This thesis proposes a novel method to estimate realistic-looking environment images from
an input face image. Having correct light information is crucial for a variety of virtual and …
an input face image. Having correct light information is crucial for a variety of virtual and …
Inclusive Portrait Lighting Estimation Model Leveraging Graphic-Based Synthetic Data
We propose a synthetic data-based training framework for real-time deep learning models
that predict an omnidirectional high-dynamic-range (HDR) environment light map from a …
that predict an omnidirectional high-dynamic-range (HDR) environment light map from a …