3 accepted papers
In the research of video quality assessment (VQA), two-branch network [1] has emerged as a promising solution. It decouples VQA with separate technical and aesthetic branches to measure the perception of low-level distortions and high-level semantics respectively. However, we argue that while techni…
Video frame interpolation and prediction aim to synthesize frames in-between and subsequent to existing frames, respectively. Despite being closely-related, these two tasks are traditionally studied with different model architectures, or same architecture but individually trained weights. Furthermor…
No-Reference Image Quality Assessment (NR-IQA) techniques have shown improved performance with the help of deep-learning but lightweight architectures have not received attention. In this paper, we propose an NR-IQA network named Lightweight Non-uniform Weighting-based NR-IQA (LiNuIQA) that adopts a…