Search Results for author: Fitsum Reda

Found 6 papers, 1 papers with code

TryOnDiffusion: A Tale of Two UNets

no code implementations CVPR 2023 Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman

Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person.

Virtual Try-on

Disentangling Architecture and Training for Optical Flow

no code implementations21 Mar 2022 Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David Fleet, William T. Freeman

Our newly trained RAFT achieves an Fl-all score of 4. 31% on KITTI 2015, more accurate than all published optical flow methods at the time of writing.

Optical Flow Estimation

FILM: Frame Interpolation for Large Motion

2 code implementations10 Feb 2022 Fitsum Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, Brian Curless

Recent methods use multiple networks to estimate optical flow or depth and a separate network dedicated to frame synthesis.

Optical Flow Estimation Video Frame Interpolation

EVRNet: Efficient Video Restoration on Edge Devices

no code implementations3 Dec 2020 Sachin Mehta, Amit Kumar, Fitsum Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra

Video transmission applications (e. g., conferencing) are gaining momentum, especially in times of global health pandemic.

Denoising SSIM +2

Neural ODEs for Image Segmentation with Level Sets

no code implementations25 Dec 2019 Rafael Valle, Fitsum Reda, Mohammad Shoeybi, Patrick Legresley, Andrew Tao, Bryan Catanzaro

We propose a novel approach for image segmentation that combines Neural Ordinary Differential Equations (NODEs) and the Level Set method.

Image Segmentation object-detection +4

Hierarchical Latent Word Clustering

no code implementations20 Jan 2016 Halid Ziya Yerebakan, Fitsum Reda, Yiqiang Zhan, Yoshihisa Shinagawa

This paper presents a new Bayesian non-parametric model by extending the usage of Hierarchical Dirichlet Allocation to extract tree structured word clusters from text data.


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