2018年12月3日 · To this extent we propose Fréchet Video Distance (FVD), a new metric for generative models of video, and StarCraft 2 Videos (SCV), a benchmark of game play from custom starcraft 2 scenarios that challenge the current capabilities of generative models of video.

2024年4月18日 · Fréchet Video Distance (FVD), a prominent metric for evaluating video generation models, is known to conflict with human perception occasionally. In this paper, we aim to explore the extent of FVD's bias toward per-frame quality over temporal realism and …

To this extent we propose Fr ́echet Video Distance (FVD), a new metric for generative models of video based on FID. We contribute a large-scale human study, which confirms that FVD correlates well with qualitative human judgment of generated videos.

2024年10月7日 · Our experiments on multiple open-source datasets show clear evidence that it is a superior alternative to the widely used FVD metric, requiring only 16% of the samples to reach its steady value, while increasing alignment with human evaluation by 34%, on average.

Fréchet Video Distance (FVD) (Cogvide, make-a-video…) 3D特征提取器分析： 参考FID，已知生成模型的 训练集 可以和特征提取器不同。 但是根据《video-to-video synthesis》论文里的结果，使用不同 特征提取器 的结果会不一样，目前github和谷歌上都搜不到FVD比较官方的实现，不能确定用哪个特征提取器； BoGAN中没有明确指出用的哪个3D特征提取器，其他几篇指出用的 kinetic-400 中训练的3D ConvNet (C3D)。

2019年5月3日 · To this extent we propose Fréchet Video Distance (FVD), a new metric for generative models of video based on FID. We contribute a large-scale human study, which confirms that FVD correlates well with qualitative human judgment of generated videos.

2024年2月26日 · • 评估指标：Fréchet Video Distance (FVD)，FVD是一种评估视频生成质量的指标，它衡量生成视频与真实视频之间的相似度。 • FID和IS则用于评估视频帧的质量。 基线比较：

This paper proposes a novel video-to-video synthesis approach under the generative adversarial learning framework, capable of synthesizing 2K resolution videos of street scenes up to 30 seconds long, which significantly advances the state-of-the-art of video synthesis.

To this extent we propose Fréchet Video Distance (FVD), a new metric for generative models of video based on FID. We contribute a large-scale human study, which confirms that FVD correlates well with qualitative human judgment of generated videos.

This repository contains the code to compute the Fréchet Video Distance (FVD) as described in https://arxiv.org/abs/1812.01717. FVD is implemented in tensorflow and requires tensorflow and tensorflow-hub to be available. An example is available here. fvd. create_id3_embedding (fvd. preprocess (real_videos, (224, 224))),