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 …

We present VideoPoet, a language model capable of synthesizing high-quality video, with
matching audio, from a large variety of conditioning signals. VideoPoet employs a decoder …

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

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

In this paper we introduce Fairy a minimalist yet robust adaptation of image-editing diffusion
models enhancing them for video editing applications. Our approach centers on the concept …

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

Text-to-video (T2V) generation models have advanced significantly, yet their ability to
compose different objects, attributes, actions, and motions into a video remains unexplored …

The recent years have witnessed great advances in video generation. However, the
development of automatic video metrics is lagging significantly behind. None of the existing …

We propose a novel text-to-video (T2V) generation benchmark, ChronoMagic-Bench, to
evaluate the temporal and metamorphic capabilities of the T2V models (eg Sora and …