Search Results for author: Inbar Mosseri

Found 16 papers, 11 papers with code

Idempotent Generative Network

1 code implementation2 Nov 2023 Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros

We define the target manifold as the set of all instances that $f$ maps to themselves.

The Hidden Language of Diffusion Models

1 code implementation1 Jun 2023 Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf

In this work, we present Conceptor, a novel method to interpret the internal representation of a textual concept by a diffusion model.

Bias Detection Image Manipulation

Teaching CLIP to Count to Ten

1 code implementation ICCV 2023 Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel

Our counting loss is deployed over automatically-created counterfactual examples, each consisting of an image and a caption containing an incorrect object count.

counterfactual Image Retrieval +4

Imagic: Text-Based Real Image Editing with Diffusion Models

no code implementations CVPR 2023 Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani

In this paper we demonstrate, for the very first time, the ability to apply complex (e. g., non-rigid) text-guided semantic edits to a single real image.

Style Transfer

MyStyle: A Personalized Generative Prior

no code implementations31 Mar 2022 Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or

Given a small reference set of portrait images of a person (~100), we tune the weights of a pretrained StyleGAN face generator to form a local, low-dimensional, personalized manifold in the latent space.

Image Enhancement Super-Resolution

Self-Distilled StyleGAN: Towards Generation from Internet Photos

2 code implementations24 Feb 2022 Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-Or, Tali Dekel, Michal Irani, Inbar Mosseri

To meet these challenges, we proposed a StyleGAN-based self-distillation approach, which consists of two main components: (i) A generative-based self-filtering of the dataset to eliminate outlier images, in order to generate an adequate training set, and (ii) Perceptual clustering of the generated images to detect the inherent data modalities, which are then employed to improve StyleGAN's "truncation trick" in the image synthesis process.

Image Generation

Deep Saliency Prior for Reducing Visual Distraction

no code implementations CVPR 2022 Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein

Using only a model that was trained to predict where people look at images, and no additional training data, we can produce a range of powerful editing effects for reducing distraction in images.

SpeedNet: Learning the Speediness in Videos

1 code implementation CVPR 2020 Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel

We demonstrate how those learned features can boost the performance of self-supervised action recognition, and can be used for video retrieval.

Binary Classification Retrieval +2

Semantic Pyramid for Image Generation

2 code implementations CVPR 2020 Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel

We demonstrate that our model results in a versatile and flexible framework that can be used in various classic and novel image generation tasks.

General Classification Image Generation +2

Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation

5 code implementations10 Apr 2018 Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein

Solving this task using only audio as input is extremely challenging and does not provide an association of the separated speech signals with speakers in the video.

Speech Separation

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings

4 code implementations ICLR 2018 Amélie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy

Style transfer usually refers to the task of applying color and texture information from a specific style image to a given content image while preserving the structure of the latter.

Domain Adaptation Style Transfer +2

Synthesizing Normalized Faces from Facial Identity Features

1 code implementation CVPR 2017 Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman

We present a method for synthesizing a frontal, neutral-expression image of a person's face given an input face photograph.

Decoder

Separating Signal from Noise Using Patch Recurrence across Scales

no code implementations CVPR 2013 Maria Zontak, Inbar Mosseri, Michal Irani

While clean patches are obscured by severe noise in the original scale of a noisy image, noise levels drop dramatically at coarser image scales.

Image Denoising

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