Chitwan Saharia | DeepAI

DeepAI AI Chat

Featured Co-authors

Yoshua Bengio
448 publications
Mohammad Norouzi
71 publications
Alexandros G. Dimakis
66 publications
William W. Cohen
61 publications
Wenhu Chen
57 publications
Peyman Milanfar
48 publications
Thien Huu Nguyen
40 publications
Navdeep Jaitly
39 publications
William Chan
37 publications
Geoffrey Hinton
36 publications
Tim Salimans
36 publications

∙ 06/14/2023

TryOnDiffusion: A Tale of Two UNets

Given two images depicting a person and a garment worn by another person...

2 Luyang Zhu, et al. ∙

∙ 02/15/2023

Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

Diffusion models have shown promising results on single-image super-reso...

0 Hshmat Sahak, et al. ∙

∙ 12/20/2022

Character-Aware Models Improve Visual Text Rendering

Current image generation models struggle to reliably produce well-formed...

0 Rosanne Liu, et al. ∙

∙ 10/05/2022

Imagen Video: High Definition Video Generation with Diffusion Models

We present Imagen Video, a text-conditional video generation system base...

16 Jonathan Ho, et al. ∙

∙ 09/29/2022

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Research on text-to-image generation has witnessed significant progress ...

0 Wenhu Chen, et al. ∙

∙ 05/23/2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

We present Imagen, a text-to-image diffusion model with an unprecedented...

0 Chitwan Saharia, et al. ∙

∙ 12/05/2021

Deblurring via Stochastic Refinement

Image deblurring is an ill-posed problem with multiple plausible solutio...

0 Jay Whang, et al. ∙

∙ 11/10/2021

Palette: Image-to-Image Diffusion Models

We introduce Palette, a simple and general framework for image-to-image ...

35 Chitwan Saharia, et al. ∙

∙ 04/15/2021

Image Super-Resolution via Iterative Refinement

We present SR3, an approach to image Super-Resolution via Repeated Refin...

1 Chitwan Saharia, et al. ∙

∙ 04/16/2020

Non-Autoregressive Machine Translation with Latent Alignments

This paper investigates two latent alignment models for non-autoregressi...

0 Chitwan Saharia, et al. ∙

∙ 02/20/2020

Imputer: Sequence Modelling via Imputation and Dynamic Programming

This paper presents the Imputer, a neural sequence model that generates ...

0 William Chan, et al. ∙

∙ 02/02/2020

Combating False Negatives in Adversarial Imitation Learning

In adversarial imitation learning, a discriminator is trained to differe...

5 Konrad Zolna, et al. ∙

∙ 10/18/2018

BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop

Allowing humans to interactively train artificial agents to understand l...

2 Maxime Chevalier-Boisvert, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world