Shechter, B.
* 2005: Prospective Motion Correction of X-Ray Images for Coronary Interventions
Shechter, E.B.
* 2021: 3D Modelling Using Aerial Oblique Images with Close Range UAV Based Data for Single Objects
Shechter, G.
* 2003: Three-dimensional motion tracking of coronary arteries in biplane cineangiograms
* 2004: Respiratory Motion of the Heart From Free Breathing Coronary Angiograms
* 2005: Prospective Motion Correction of X-Ray Images for Coronary Interventions
* 2006: Displacement and velocity of the coronary arteries: cardiac and respiratory motion
Shechtman, E.
* 2002: Increasing Space-Time Resolution in Video
* 2004: Space-time video completion
* 2005: Actions as Space-Time Shapes
* 2005: Space-Time Behavior Based Correlation
* 2005: Space-Time Super-Resolution
* 2007: Actions as Space-Time Shapes
* 2007: Matching Local Self-Similarities across Images and Videos
* 2007: Space-Time Behavior-Based Correlation - OR - How to Tell If Two Underlying Motion Fields Are Similar Without Computing Them?
* 2007: Space-Time Completion of Video
* 2008: In defense of Nearest-Neighbor based image classification
* 2008: Summarizing visual data using bidirectional similarity
* 2010: Being John Malkovich
* 2010: Generalized PatchMatch Correspondence Algorithm, The
* 2010: Regenerative morphing
* 2011: PatchMatch Randomized Matching Algorithm for Image Manipulation, The
* 2012: Automatic upright adjustment of photographs
* 2012: Facial expression editing in video using a temporally-smooth factorization
* 2012: Multi-video browsing and summarization
* 2013: Deblurring by Example Using Dense Correspondence
* 2013: Learning Video Saliency from Human Gaze Using Candidate Selection
* 2014: Automatic Upright Adjustment of Photographs With Robust Camera Calibration
* 2014: Improving patch-based synthesis by learning patch masks
* 2014: Large-Scale Visual Font Recognition
* 2014: Moving Portraits
* 2015: Finding distractors in images
* 2015: Learning a Discriminative Model for the Perception of Realism in Composite Images
* 2015: PatchMatch-Based Automatic Lattice Detection for Near-Regular Textures
* 2015: Selective Pooling Vector for Fine-Grained Recognition
* 2016: Generative Visual Manipulation on the Natural Image Manifold
* 2016: Multi-View Inpainting for Image-Based Scene Editing and Rendering
* 2016: Removing Shadows from Images of Documents
* 2017: Controlling Perceptual Factors in Neural Style Transfer
* 2017: Deep Photo Style Transfer
* 2017: High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis
* 2017: Localizing Moments in Video with Natural Language
* 2017: Neural Face Editing with Intrinsic Image Disentangling
* 2017: Training Deep Networks to be Spatially Sensitive
* 2018: Learning Blind Video Temporal Consistency
* 2018: MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
* 2018: Multi-content GAN for Few-Shot Font Style Transfer
* 2018: Saliency Driven Image Manipulation
* 2018: ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
* 2018: Unreasonable Effectiveness of Deep Features as a Perceptual Metric, The
* 2019: Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement
* 2019: Im2Pencil: Controllable Pencil Illustration From Photographs
* 2019: Interactive Sketch Fill: Multiclass Sketch-to-Image Translation
* 2019: Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
* 2019: Saliency Driven Image Manipulation
* 2019: Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
* 2019: UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images
* 2020: Guest Editorial: Generative Adversarial Networks for Computer Vision
* 2020: High-resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling
* 2020: Learning Monocular Face Reconstruction using Multi-View Supervision
* 2020: Lifespan Age Transformation Synthesis
* 2020: Look Here! A Parametric Learning Based Approach to Redirect Visual Attention
* 2020: Neural Puppet: Generative Layered Cartoon Characters
* 2021: Collaging Class-specific GANs for Semantic Image Synthesis
* 2021: Ensembling with Deep Generative Views
* 2021: Few-shot Image Generation via Cross-domain Correspondence
* 2021: Fine-grained Foreground Retrieval via Teacher-Student Learning
* 2021: Modulated Periodic Activations for Generalizable Local Functional Representations
* 2021: Spatially-Adaptive Pixelwise Networks for Fast Image Translation
* 2021: StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
* 2021: StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
* 2021: TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations
* 2022: Any-Resolution Training for High-Resolution Image Synthesis
* 2022: ARF: Artistic Radiance Fields
* 2022: BlobGAN: Spatially Disentangled Scene Representations
* 2022: CharacterGAN: Few-Shot Keypoint Character Animation and Reposing
* 2022: ChunkyGAN: Real Image Inversion via Segments
* 2022: Contrastive Learning for Diverse Disentangled Foreground Generation
* 2022: Controllable Shadow Generation Using Pixel Height Maps
* 2022: Ensembling Off-the-shelf Models for GAN Training
* 2022: GAN-Supervised Dense Visual Alignment
* 2022: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training
* 2022: Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-curation
* 2022: InsetGAN for Full-Body Image Generation
* 2022: Perceptual Artifacts Localization for Inpainting
* 2022: RigNeRF: Fully Controllable Neural 3D Portraits
* 2022: StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
* 2022: Third Time's the Charm? Image and Video Editing with Stylegan3
* 2023: Ablating Concepts in Text-to-Image Diffusion Models
* 2023: Automatic High Resolution Wire Segmentation and Removal
* 2023: Domain Expansion of Image Generators
* 2023: GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding
* 2023: Multi-Concept Customization of Text-to-Image Diffusion
* 2023: Perceptual Artifacts Localization for Image Synthesis Tasks
* 2023: Realistic Saliency Guided Image Enhancement
* 2023: Scaling up GANs for Text-to-Image Synthesis
* 2023: Semi-Supervised Parametric Real-World Image Harmonization
* 2023: SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network
Includes: Shechtman, E. Shechtman, E.[Eli]
91 for Shechtman, E.
Shechtman, Y.
* 2015: Phase Retrieval with Application to Optical Imaging: A contemporary overview
* 2021: Learning Optimal Wavefront Shaping for Multi-Channel Imaging
Includes: Shechtman, Y. Shechtman, Y.[Yoav]