b'Eli Shechtman'

research

∙ 07/09/2023

DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer

Neural Style Transfer (NST) is the field of study applying neural techni...

0 Dan Ruta, et al. ∙

research

∙ 06/09/2023

Realistic Saliency Guided Image Enhancement

Common editing operations performed by professional photographers includ...

0 S. Mahdi H. Miangoleh, et al. ∙

research

∙ 05/28/2023

SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network

In photo editing, it is common practice to remove visual distractions to...

0 Chuong Huynh, et al. ∙

research

∙ 04/11/2023

NeAT: Neural Artistic Tracing for Beautiful Style Transfer

Style transfer is the task of reproducing the semantic contents of a sou...

0 Dan Ruta, et al. ∙

research

∙ 04/01/2023

Automatic High Resolution Wire Segmentation and Removal

Wires and powerlines are common visual distractions that often undermine...

0 Mang Tik Chiu, et al. ∙

research

∙ 03/23/2023

Ablating Concepts in Text-to-Image Diffusion Models

Large-scale text-to-image diffusion models can generate high-fidelity im...

0 Nupur Kumari, et al. ∙

research

∙ 03/01/2023

Semi-supervised Parametric Real-world Image Harmonization

Learning-based image harmonization techniques are usually trained to und...

0 Ke Wang, et al. ∙

research

∙ 01/12/2023

Domain Expansion of Image Generators

Can one inject new concepts into an already trained generative model, wh...

0 Yotam Nitzan, et al. ∙

research

∙ 12/13/2022

Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators

Structure-guided image completion aims to inpaint a local region of an i...

0 Haitian Zheng, et al. ∙

research

∙ 12/08/2022

Multi-Concept Customization of Text-to-Image Diffusion

While generative models produce high-quality images of concepts learned ...

0 Nupur Kumari, et al. ∙

research

∙ 11/04/2022

Contrastive Learning for Diverse Disentangled Foreground Generation

We introduce a new method for diverse foreground generation with explici...

0 Yuheng Li, et al. ∙

research

∙ 09/08/2022

Text-Free Learning of a Natural Language Interface for Pretrained Face Generators

We propose Fast text2StyleGAN, a natural language interface that adapts ...

0 Xiaodan Du, et al. ∙

research

∙ 08/06/2022

Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation

Recently, deep models have established SOTA performance for low-resoluti...

19 Lingzhi Zhang, et al. ∙

research

∙ 08/05/2022

Perceptual Artifacts Localization for Inpainting

Image inpainting is an essential task for multiple practical application...

10 Lingzhi Zhang, et al. ∙

research

∙ 06/13/2022

RigNeRF: Fully Controllable Neural 3D Portraits

Volumetric neural rendering methods, such as neural radiance fields (NeR...

3 ShahRukh Athar, et al. ∙

research

∙ 06/13/2022

ARF: Artistic Radiance Fields

We present a method for transferring the artistic features of an arbitra...

0 Kai Zhang, et al. ∙

research

∙ 05/05/2022

BlobGAN: Spatially Disentangled Scene Representations

We propose an unsupervised, mid-level representation for a generative mo...

8 Dave Epstein, et al. ∙

research

∙ 04/14/2022

Any-resolution Training for High-resolution Image Synthesis

Generative models operate at fixed resolution, even though natural image...

4 Lucy Chai, et al. ∙

research

∙ 03/24/2022

Neural Neighbor Style Transfer

We propose Neural Neighbor Style Transfer (NNST), a pipeline that offers...

0 Nicholas Kolkin, et al. ∙

research

∙ 03/22/2022

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Recent image inpainting methods have made great progress but often strug...

0 Haitian Zheng, et al. ∙

research

∙ 03/14/2022

InsetGAN for Full-Body Image Generation

While GANs can produce photo-realistic images in ideal conditions for ce...

0 Anna Frühstück, et al. ∙

research

∙ 01/31/2022

Third Time's the Charm? Image and Video Editing with StyleGAN3

StyleGAN is arguably one of the most intriguing and well-studied generat...

7 Yuval Alaluf, et al. ∙

research

∙ 01/20/2022

GeoFill: Reference-Based Image Inpainting of Scenes with Complex Geometry

Reference-guided image inpainting restores image pixels by leveraging th...

1 Yunhan Zhao, et al. ∙

research

∙ 12/21/2021

StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

We introduce a high resolution, 3D-consistent image and shape generation...

0 Roy Or-El, et al. ∙

research

∙ 12/16/2021

Ensembling Off-the-shelf Models for GAN Training

The advent of large-scale training has produced a cornucopia of powerful...

6 Nupur Kumari, et al. ∙

research

∙ 12/09/2021

GAN-Supervised Dense Visual Alignment

We propose GAN-Supervised Learning, a framework for learning discriminat...

7 William Peebles, et al. ∙

research

∙ 10/21/2021

StyleAlign: Analysis and Applications of Aligned StyleGAN Models

In this paper, we perform an in-depth study of the properties and applic...

4 Zongze Wu, et al. ∙

research

∙ 10/20/2021

STALP: Style Transfer with Auxiliary Limited Pairing

We present an approach to example-based stylization of images that uses ...

0 David Futschik, et al. ∙

research

∙ 10/12/2021

Real Image Inversion via Segments

In this short report, we present a simple, yet effective approach to edi...

8 David Futschik, et al. ∙

research

∙ 10/08/2021

Collaging Class-specific GANs for Semantic Image Synthesis

We propose a new approach for high resolution semantic image synthesis. ...

0 Yuheng Li, et al. ∙

research

∙ 09/13/2021

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

We present an algorithm for re-rendering a person from a single image un...

0 Badour AlBahar, et al. ∙

research

∙ 04/29/2021

Ensembling with Deep Generative Views

Recent generative models can synthesize "views" of artificial images tha...

7 Lucy Chai, et al. ∙

research

∙ 04/13/2021

Few-shot Image Generation via Cross-domain Correspondence

Training generative models, such as GANs, on a target domain containing ...

5 Utkarsh Ojha, et al. ∙

research

∙ 04/08/2021

Modulated Periodic Activations for Generalizable Local Functional Representations

Multi-Layer Perceptrons (MLPs) make powerful functional representations ...

6 Ishit Mehta, et al. ∙

research

∙ 03/31/2021

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Inspired by the ability of StyleGAN to generate highly realistic images ...

15 Or Patashnik, et al. ∙

research

∙ 03/29/2021

TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations

Image inpainting is the task of plausibly restoring missing pixels withi...

0 Yuqian Zhou, et al. ∙

research

∙ 02/05/2021

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing

We introduce CharacterGAN, a generative model that can be trained on onl...

0 Tobias Hinz, et al. ∙

research

∙ 12/05/2020

Spatially-Adaptive Pixelwise Networks for Fast Image Translation

We introduce a new generator architecture, aimed at fast and efficient h...

0 Tamar Rott Shaham, et al. ∙

research

∙ 12/04/2020

Few-shot Image Generation with Elastic Weight Consolidation

Few-shot image generation seeks to generate more data of a given domain,...

0 Yijun Li, et al. ∙

research

∙ 11/25/2020

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

We explore and analyze the latent style space of StyleGAN2, a state-of-t...

12 Zongze Wu, et al. ∙

research

∙ 08/12/2020

Look here! A parametric learning based approach to redirect visual attention

Across photography, marketing, and website design, being able to direct ...

7 Youssef Alami Mejjati, et al. ∙

research

∙ 07/01/2020

Swapping Autoencoder for Deep Image Manipulation

Deep generative models have become increasingly effective at producing r...

2 Taesung Park, et al. ∙

research

∙ 05/24/2020

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

Existing image inpainting methods often produce artifacts when dealing w...

2 Yu Zeng, et al. ∙

research

∙ 04/29/2020

Image Morphing with Perceptual Constraints and STN Alignment

In image morphing, a sequence of plausible frames are synthesized and co...

5 Noa Fish, et al. ∙

research

∙ 04/08/2020

State of the Art on Neural Rendering

Efficient rendering of photo-realistic virtual worlds is a long standing...

13 Ayush Tewari, et al. ∙

research

∙ 03/27/2020

Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement

We present a method to improve the visual realism of low-quality, synthe...

7 Sai Bi, et al. ∙

research

∙ 03/21/2020

Lifespan Age Transformation Synthesis

We address the problem of single photo age progression and regression-th...

0 Roy Or-El, et al. ∙

research

∙ 10/04/2019

Neural Puppet: Generative Layered Cartoon Characters

We propose a learning based method for generating new animations of a ca...

17 Omid Poursaeed, et al. ∙

research

∙ 09/24/2019

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

Arnab Ghosh 6:32 PM We propose an interactive GAN-based sketch-to-image ...

4 Arnab Ghosh, et al. ∙

research

∙ 08/19/2019

UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images

We introduce UprightNet, a learning-based approach for estimating 2DoF c...

0 Wenqi Xian, et al. ∙

Eli Shechtman

Featured Co-authors