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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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02/02/2023
RobustNeRF: Ignoring Distractors with Robust Losses
Neural radiance fields (NeRF) excel at synthesizing new views given mult...
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10/19/2022
Gaussian-Bernoulli RBMs Without Tears
We revisit the challenging problem of training Gaussian-Bernoulli restri...
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10/12/2022
A Generalist Framework for Panoptic Segmentation of Images and Videos
Panoptic segmentation assigns semantic and instance ID labels to every p...
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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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06/15/2022
A Unified Sequence Interface for Vision Tasks
While language tasks are naturally expressed in a single, unified, model...
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06/01/2022
Residual Multiplicative Filter Networks for Multiscale Reconstruction
Coordinate networks like Multiplicative Filter Networks (MFNs) and BACON...
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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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09/22/2021
Pix2seq: A Language Modeling Framework for Object Detection
This paper presents Pix2Seq, a simple and generic framework for object d...
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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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11/27/2020
Unsupervised part representation by Flow Capsules
Capsule networks are designed to parse an image into a hierarchy of obje...
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07/09/2020
A Study of Gradient Variance in Deep Learning
The impact of gradient noise on training deep models is widely acknowled...
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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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02/18/2020
SentenceMIM: A Latent Variable Language Model
We introduce sentenceMIM, a probabilistic auto-encoder for language mode...
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10/08/2019
MIM: Mutual Information Machine
We introduce the Mutual Information Machine (MIM), an autoencoder model ...
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10/04/2019
High Mutual Information in Representation Learning with Symmetric Variational Inference
We introduce the Mutual Information Machine (MIM), a novel formulation o...
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12/04/2018
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture
We propose a generative approach to physics-based motion capture. Unlike...
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11/05/2018
TzK Flow - Conditional Generative Model
We introduce TzK (pronounced "task"), a conditional flow-based encoder/d...
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07/18/2017
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
We present a new technique for learning visual-semantic embeddings for c...
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11/24/2015
Transductive Log Opinion Pool of Gaussian Process Experts
We introduce a framework for analyzing transductive combination of Gauss...
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11/16/2015
Adversarial Manipulation of Deep Representations
We show that the representation of an image in a deep neural network (DN...
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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
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits
We propose a novel algorithm for optimizing multivariate linear threshol...
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04/14/2015
Building Proteins in a Day: Efficient 3D Molecular Reconstruction
Discovering the 3D atomic structure of molecules such as proteins and vi...
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10/28/2014
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
In this work, we propose a generalized product of experts (gPoE) framewo...
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07/11/2013
Fast Exact Search in Hamming Space with Multi-Index Hashing
There is growing interest in representing image data and feature descrip...
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01/10/2013
