Chitwan Saharia

According to our database1, Chitwan Saharia authored at least 20 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Image Super-Resolution via Iterative Refinement.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Synthetic Data from Diffusion Models Improves ImageNet Classification.
Trans. Mach. Learn. Res., 2023

Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild.
CoRR, 2023

Re-Imagen: Retrieval-Augmented Text-to-Image Generator.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TryOnDiffusion: A Tale of Two UNets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Character-Aware Models Improve Visual Text Rendering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Cascaded Diffusion Models for High Fidelity Image Generation.
J. Mach. Learn. Res., 2022

Imagen Video: High Definition Video Generation with Diffusion Models.
CoRR, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
CoRR, 2022

Palette: Image-to-Image Diffusion Models.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deblurring via Stochastic Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Combating False Negatives in Adversarial Imitation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Imputer: Sequence Modelling via Imputation and Dynamic Programming.
Proceedings of the 37th International Conference on Machine Learning, 2020

Non-Autoregressive Machine Translation with Latent Alignments.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Combating False Negatives in Adversarial Imitation Learning (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Tale of Two Modalities for Video Captioning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop.
CoRR, 2018


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