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Found 18 papers, 10 papers with code
THQA: A Perceptual Quality Assessment Database for Talking Heads
In the realm of media technology, digital humans have gained prominence due to rapid advancements in computer technology.
AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
With the rapid advancements in AI-Generated Content (AIGC), AI-Generated Images (AIGIs) have been widely applied in entertainment, education, and social media.
Simple Baselines for Projection-based Full-reference and No-reference Point Cloud Quality Assessment
Point clouds are widely used in 3D content representation and have various applications in multimedia.
A No-Reference Quality Assessment Method for Digital Human Head
In this paper, we develop a novel no-reference (NR) method based on Transformer to deal with DHQA in a multi-task manner.
Geometry-Aware Video Quality Assessment for Dynamic Digital Human
Usually, DDHs are displayed as 2D rendered animation videos and it is natural to adapt video quality assessment (VQA) methods to DDH quality assessment (DDH-QA) tasks.
Advancing Zero-Shot Digital Human Quality Assessment through Text-Prompted Evaluation
To address this gap, we propose SJTU-H3D, a subjective quality assessment database specifically designed for full-body digital humans.
GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment
Model-based 3DQA methods extract features directly from the 3D models, which are characterized by their high degree of complexity.
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance
Existing binary descriptors may not perform well for long-term visual measurement tasks due to their sensitivity to illumination variations.
Level-line Guided Edge Drawing for Robust Line Segment Detection
Line segment detection plays a cornerstone role in computer vision tasks.
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges
The challenges in existing methods and corresponding insights for potentially solving them are also provided to inspire researchers.
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images
Computer graphics images (CGIs) are artificially generated by means of computer programs and are widely perceived under various scenarios, such as games, streaming media, etc.
EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment
Currently, great numbers of efforts have been put into improving the effectiveness of 3D model quality assessment (3DQA) methods.
Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder
Seismic acquisition footprints appear as stably faint and dim structures and emerge fully spatially coherent, causing inevitable damage to useful signals during the suppression process.
Unsupervised Deep Learning for IoT Time Series
IoT time series analysis has found numerous applications in a wide variety of areas, ranging from health informatics to network security.
DDH-QA: A Dynamic Digital Humans Quality Assessment Database
In recent years, large amounts of effort have been put into pushing forward the real-world application of dynamic digital human (DDH).
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
We would like to answer the following questions: (1)How is the performance of time series anomaly detection algorithms when meeting federated learning?
Perceptual Quality Assessment for Digital Human Heads
Digital humans are attracting more and more research interest during the last decade, the generation, representation, rendering, and animation of which have been put into large amounts of effort.
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection
Weakly-supervised anomaly detection aims at learning an anomaly detector from a limited amount of labeled data and abundant unlabeled data.
Supervised Anomaly Detection
Weakly-supervised Anomaly Detection
