Ruben Villegas | DeepAI

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∙ 08/22/2023

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization

Generating video stories from text prompts is a complex task. In additio...

0 Emanuele Bugliarello, et al. ∙

∙ 03/21/2023

Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders

Masked Autoencoders (MAEs) learn self-supervised representations by rand...

0 Jefferson Hernandez, et al. ∙

∙ 10/05/2022

Phenaki: Variable Length Video Generation From Open Domain Textual Description

We present Phenaki, a model capable of realistic video synthesis, given ...

11 Ruben Villegas, et al. ∙

∙ 05/14/2022

RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects

There have been remarkable successes in computer vision with deep learni...

7 Yunseok Jang, et al. ∙

∙ 09/15/2021

Contact-Aware Retargeting of Skinned Motion

This paper introduces a motion retargeting method that preserves self-co...

0 Ruben Villegas, et al. ∙

∙ 08/18/2021

Stochastic Scene-Aware Motion Prediction

A long-standing goal in computer vision is to capture, model, and realis...

11 Mohamed Hassan, et al. ∙

∙ 07/15/2021

Single-image Full-body Human Relighting

We present a single-image data-driven method to automatically relight im...

12 Manuel Lagunas, et al. ∙

∙ 06/07/2021

Task-Generic Hierarchical Human Motion Prior using VAEs

A deep generative model that describes human motions can benefit a wide ...

15 Jiaman Li, et al. ∙

∙ 07/22/2020

Contact and Human Dynamics from Monocular Video

Existing deep models predict 2D and 3D kinematic poses from video that a...

12 Davis Rempe, et al. ∙

∙ 11/05/2019

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

Predicting future video frames is extremely challenging, as there are ma...

37 Ruben Villegas, et al. ∙

∙ 06/19/2019

Unsupervised Learning of Object Structure and Dynamics from Videos

Extracting and predicting object structure and dynamics from videos with...

4 Matthias Minderer, et al. ∙

∙ 11/12/2018

Learning Latent Dynamics for Planning from Pixels

Planning has been very successful for control tasks with known environme...

6 Danijar Hafner, et al. ∙

∙ 08/14/2018

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

Long-term human motion can be represented as a series of motion modes---...

2 Xinchen Yan, et al. ∙

∙ 06/12/2018

Hierarchical Long-term Video Prediction without Supervision

Much of recent research has been devoted to video prediction and generat...

10 Nevan Wichers, et al. ∙

∙ 04/16/2018

Neural Kinematic Networks for Unsupervised Motion Retargetting

We propose a recurrent neural network architecture with a Forward Kinema...

0 Ruben Villegas, et al. ∙

∙ 06/25/2017

Decomposing Motion and Content for Natural Video Sequence Prediction

We propose a deep neural network for the prediction of future frames in ...

0 Ruben Villegas, et al. ∙

∙ 04/13/2015

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

Object detection systems based on the deep convolutional neural network ...

0 Yuting Zhang, et al. ∙

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