31 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Point-to-Point Video Generation
We introduce point-to-point video generation that controls the generation process with two control points: the targeted start- and end-frames.
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
In this work, we propose SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research in soccer understanding and broadcast production.
BodyNet: Volumetric Inference of 3D Human Body Shapes
Human shape estimation is an important task for video editing, animation and fashion industry.
Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
Free-form video inpainting is a very challenging task that could be widely used for video editing such as text removal.
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
We show that a single handheld consumer-grade camera is sufficient to synthesize sophisticated renderings of a dynamic scene from novel virtual camera views, e. g. a `bullet-time' video effect.
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
With rapidly evolving internet technologies and emerging tools, sports related videos generated online are increasing at an unprecedentedly fast pace.
Layered Neural Atlases for Consistent Video Editing
We present a method that decomposes, or "unwraps", an input video into a set of layered 2D atlases, each providing a unified representation of the appearance of an object (or background) over the video.
Online Misinformation Video Detection: A Survey
With information consumption via online video streaming becoming increasingly popular, misinformation video poses a new threat to the health of the online information ecosystem.
Fast Deep Matting for Portrait Animation on Mobile Phone
Finally, an automatic portrait animation system based on fast deep matting is built on mobile devices, which does not need any interaction and can realize real-time matting with 15 fps.
A Temporally-Aware Interpolation Network for Video Frame Inpainting
We propose the first deep learning solution to video frame inpainting, a challenging instance of the general video inpainting problem with applications in video editing, manipulation, and forensics.