Benchmarks
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Subtasks
Greatest papers with code
Video Generation from Single Semantic Label Map
This paper proposes the novel task of video generation conditioned on a SINGLE semantic label map, which provides a good balance between flexibility and quality in the generation process.
Stochastic Video Generation with a Learned Prior
ICML 2018
• edenton/svg
• 
Sample generations are both varied and sharp, even many frames into the future, and compare favorably to those from existing approaches.
Temporal Generative Adversarial Nets with Singular Value Clipping
In this paper, we propose a generative model, Temporal Generative Adversarial Nets (TGAN), which can learn a semantic representation of unlabeled videos, and is capable of generating videos.
DeepLandscape: Adversarial Modeling of Landscape Videos
ECCV 2020
• saic-mdal/deep-landscape
•
Furthermore, by fitting the learned models to a static landscape image, the latter can be reenacted in a realistic way.
Sliced Wasserstein Generative Models
CVPR 2019
• musikisomorphie/swd
• 
In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data distributions.
Ranked #1 on
Video Generation
on TrailerFaces
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
Furthermore, we introduce a sliced version of Wasserstein GAN (SWGAN) loss to improve the distribution learning on the video data of high-dimension and mixed-spatiotemporal distribution.
Sliced Wasserstein Generative Models
In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data distributions.
What comprises a good talking-head video generation?: A Survey and Benchmark
In this work, we present a carefully-designed benchmark for evaluating talking-head video generation with standardized dataset pre-processing strategies.
Point-to-Point Video Generation
ICCV 2019
• charlescheng0117/p2pvg
•
We introduce point-to-point video generation that controls the generation process with two control points: the targeted start- and end-frames.
High Frame Rate Video Reconstruction based on an Event Camera
Based on the abundant event data alongside a low frame rate, easily blurred images, we propose a simple yet effective approach to reconstruct high-quality and high frame rate sharp videos.