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Found 6 papers, 1 papers with code
FineVQ: Fine-Grained User Generated Content Video Quality Assessment
The rapid growth of user-generated content (UGC) videos has produced an urgent need for effective video quality assessment (VQA) algorithms to monitor video quality and guide optimization and recommendation procedures.
F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration
The FaceQ database comprises 12, 255 images generated by 29 models across three tasks: (1) face generation, (2) face customization, and (3) face restoration.
Rate-Perception Optimized Preprocessing for Video Coding
In the past decades, lots of progress have been done in the video compression field including traditional video codec and learning-based video codec.
Quality-Constant Per-Shot Encoding by Two-Pass Learning-based Rate Factor Prediction
With the help of first pass predicted RF and corresponding actual quality as feedback, the second pass prediction will be highly accurate.
Content Adaptive and Error Propagation Aware Deep Video Compression
Therefore, the encoder is adaptive to different video contents and achieves better compression performance by reducing the domain gap between the training and testing datasets.
DVC: An End-to-end Deep Video Compression Framework
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information.
