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07/03/2023
Segment Anything Meets Point Tracking
The Segment Anything Model (SAM) has established itself as a powerful ze...
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03/20/2022
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild
We propose a trainable Image Signal Processing (ISP) framework that prod...
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01/24/2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Free-form inpainting is the task of adding new content to an image in th...
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01/17/2022
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Class-conditioning offers a direct means of controlling a Generative Adv...
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12/17/2021
Efficient Visual Tracking with Exemplar Transformers
The design of more complex and powerful neural network models has signif...
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11/26/2021
Mask Transfiner for High-Quality Instance Segmentation
Two-stage and query-based instance segmentation methods have achieved re...
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09/28/2021
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Establishing robust and accurate correspondences between a pair of image...
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08/18/2021
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
We propose a deep reparametrization of the maximum a posteriori formulat...
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06/07/2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
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03/30/2021
Deep Gaussian Processes for Few-Shot Segmentation
Few-shot segmentation is a challenging task, requiring the extraction of...
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01/26/2021
Deep Burst Super-Resolution
While single-image super-resolution (SISR) has attracted substantial int...
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07/22/2020
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Scalable Vector Graphics (SVG) are ubiquitous in modern 2D interfaces du...
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09/20/2019
Unsupervised Learning for Real-World Super-Resolution
Most current super-resolution methods rely on low and high resolution im...
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11/19/2018
