The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

Contemporary models for generating images show remarkable quality and versatility.
Swayed by these advantages the research community repurposes them to generate videos …

Despite significant progress in generative AI, comprehensive evaluation remains
challenging because of the lack of effective metrics and standardized benchmarks. For …

Sora's high-motion intensity and long consistent videos have significantly impacted the field
of video generation, attracting unprecedented attention. However, existing publicly available …

This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content
Challenge which will be held in conjunction with the New Trends in Image Restoration and …

Generative AI has made remarkable strides to revolutionize fields such as image and video
generation. These advancements are driven by innovative algorithms, architecture, and …

With the availability of large-scale video datasets and the advances of diffusion models, text-
driven video generation has achieved substantial progress. However, existing video …

While text-to-visual models now produce photo-realistic images and videos they struggle
with compositional text prompts involving attributes relationships and higher-order …