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Video Generation

19 papers with code · Computer Vision
Subtask of Video

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MoCoGAN: Decomposing Motion and Content for Video Generation

CVPR 2018 sergeytulyakov/mocogan

The proposed framework generates a video by mapping a sequence of random vectors to a sequence of video frames.

VIDEO GENERATION

Recycle-GAN: Unsupervised Video Retargeting

ECCV 2018 aayushbansal/Recycle-GAN

We introduce a data-driven approach for unsupervised video retargeting that translates content from one domain to another while preserving the style native to a domain, i. e., if contents of John Oliver's speech were to be transferred to Stephen Colbert, then the generated content/speech should be in Stephen Colbert's style.

VIDEO GENERATION

Animating Arbitrary Objects via Deep Motion Transfer

CVPR 2019 AliaksandrSiarohin/monkey-net

This is achieved through a deep architecture that decouples appearance and motion information.

IMAGE ANIMATION VIDEO GENERATION

Everybody Dance Now

ICCV 2019 Lotayou/everybody_dance_now_pytorch

This paper presents a simple method for "do as I do" motion transfer: given a source video of a person dancing, we can transfer that performance to a novel (amateur) target after only a few minutes of the target subject performing standard moves.

FACE GENERATION IMAGE-TO-IMAGE TRANSLATION VIDEO GENERATION

Video Generation from Single Semantic Label Map

CVPR 2019 junting/seg2vid

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.

IMAGE GENERATION OPTICAL FLOW ESTIMATION VIDEO GENERATION

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.

VIDEO GENERATION

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.

IMAGE GENERATION VIDEO GENERATION

Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs

4 Oct 2018musikisomorphie/swd

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.

IMAGE GENERATION VIDEO GENERATION ZERO-SHOT ACTION RECOGNITION

Sliced Wasserstein Generative Models

8 Jun 2017musikisomorphie/swd

In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data distributions.

IMAGE GENERATION VIDEO GENERATION

Attentive Semantic Video Generation using Captions

ICCV 2017 Singularity42/cap2vid

This paper proposes a network architecture to perform variable length semantic video generation using captions.

STYLE TRANSFER VIDEO GENERATION ZERO-SHOT ACTION RECOGNITION