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06/02/2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Denoising diffusion probabilistic models have transformed image generati...
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02/28/2023
Monocular Depth Estimation using Diffusion Models
We formulate monocular depth estimation using denoising diffusion models...
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10/05/2022
Imagen Video: High Definition Video Generation with Diffusion Models
We present Imagen Video, a text-conditional video generation system base...
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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...
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04/07/2022
Video Diffusion Models
Generating temporally coherent high fidelity video is an important miles...
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11/10/2021
Palette: Image-to-Image Diffusion Models
We introduce Palette, a simple and general framework for image-to-image ...
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06/11/2021
Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation
Semi-Supervised Learning (SSL) has seen success in many application doma...
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04/15/2021
Image Super-Resolution via Iterative Refinement
We present SR3, an approach to image Super-Resolution via Repeated Refin...
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10/30/2020
What's in a Loss Function for Image Classification?
It is common to use the softmax cross-entropy loss to train neural netwo...
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10/05/2020
Mastering Atari with Discrete World Models
Intelligent agents need to generalize from past experience to achieve go...
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04/16/2020
Non-Autoregressive Machine Translation with Latent Alignments
This paper investigates two latent alignment models for non-autoregressi...
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04/09/2020
Exemplar VAEs for Exemplar based Generation and Data Augmentation
This paper presents a framework for exemplar based generative modeling, ...
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04/06/2020
NiLBS: Neural Inverse Linear Blend Skinning
In this technical report, we investigate efficient representations of ar...
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12/03/2019
Dream to Control: Learning Behaviors by Latent Imagination
Learned world models summarize an agent's experience to facilitate learn...
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11/06/2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Posterior collapse in Variational Autoencoders (VAEs) arises when the va...
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11/27/2018
Understanding the impact of entropy on policy optimization
Entropy regularization is commonly used to improve policy optimization i...
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11/27/2018
Understanding the impact of entropy in policy learning
Entropy regularization is commonly used to improve policy optimization i...
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04/23/2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Current end-to-end machine reading and question answering (Q&A) models a...
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02/02/2017
Pixel Recursive Super Resolution
We present a pixel recursive super resolution model that synthesizes rea...
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11/12/2015
Efficient non-greedy optimization of decision trees
Decision trees and randomized forests are widely used in computer vision...
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06/19/2015
