Search Results for author: Wilson Yan

Found 7 papers, 5 papers with code

Temporally Consistent Video Transformer for Long-Term Video Prediction

1 code implementation5 Oct 2022 Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel

In this work, we present Temporally Consistent Video Transformer (TECO), a vector-quantized latent dynamics video prediction model that learns compressed representations to efficiently condition on long videos of hundreds of frames during both training and generation.

Video Generation Video Prediction

Patch-based Object-centric Transformers for Efficient Video Generation

1 code implementation8 Jun 2022 Wilson Yan, Ryo Okumura, Stephen James, Pieter Abbeel

In this work, we present Patch-based Object-centric Video Transformer (POVT), a novel region-based video generation architecture that leverages object-centric information to efficiently model temporal dynamics in videos.

Video Generation Video Prediction

VideoGPT: Video Generation using VQ-VAE and Transformers

1 code implementation20 Apr 2021 Wilson Yan, Yunzhi Zhang, Pieter Abbeel, Aravind Srinivas

We present VideoGPT: a conceptually simple architecture for scaling likelihood based generative modeling to natural videos.

Video Generation

VideoGen: Generative Modeling of Videos using VQ-VAE and Transformers

no code implementations1 Jan 2021 Yunzhi Zhang, Wilson Yan, Pieter Abbeel, Aravind Srinivas

We present VideoGen: a conceptually simple architecture for scaling likelihood based generative modeling to natural videos.

Video Generation

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation

1 code implementation11 Mar 2020 Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto

Using visual model-based learning for deformable object manipulation is challenging due to difficulties in learning plannable visual representations along with complex dynamic models.

Deformable Object Manipulation

Natural Image Manipulation for Autoregressive Models Using Fisher Scores

no code implementations25 Nov 2019 Wilson Yan, Jonathan Ho, Pieter Abbeel

Deep autoregressive models are one of the most powerful models that exist today which achieve state-of-the-art bits per dim.

Image Manipulation

Learning to Manipulate Deformable Objects without Demonstrations

2 code implementations29 Oct 2019 Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel

Second, instead of jointly learning both the pick and the place locations, we only explicitly learn the placing policy conditioned on random pick points.

Deformable Object Manipulation

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