Next talk: "Deep generative image models using a Laplacian pyramid of adversarial networks" by Emily Denton, December 16th

[Colin Raffel]

Hi all, slides and notes for Nikolai's talk yesterday are online.

Our next talk will be on the 16th; we're hosting Emily Denton from NYU who will be presenting her work on improving the quality of Generative Adversarial Network-based image generation with a Laplacian pyramid structure.  As usual, it's on a Wednesday at 4pm, and we will be meeting in CEPSR 620.  A talk abstract follows, please distribute to anyone you think would be interested!  See you then.

Deep generative image models using a Laplacian pyramid of adversarial networks

Emily Denton (NYU)

4pm, December 12th, 2015

CEPSR 620

We introduce a generative parametric model capable of producing high quality samples of natural images. Our approach uses a cascade of convolutional networks within a Laplacian pyramid framework to generate images in a coarse-to-fine fashion. At each level of the pyramid, a separate generative convnet model is trained using the Generative Adversarial Nets approach. Samples drawn from our model are of significantly higher quality than alternate approaches.

∿

[Colin Raffel]

Hi all, friendly reminder that we're hosting a talk by Emily Denton on Generative Adversarial Networks tomorrow (the 16th)!  Talk details are below.

On Thu, Dec 3, 2015 at 5:28 PM, Colin Raffel <cra...@gmail.com> wrote:

Deep generative image models using a Laplacian pyramid of adversarial networks

Emily Denton (NYU)

4pm, Wednesday December 16th