Elya Shechtman

MASK-ROBUST IMAGE INPAINTING UTILIZING MACHINE-LEARNING MODELS

CONTROLLABLE IMAGE SYNTHESIS USING EDITABLE IMAGE ELEMENTS

TEXT-TO-IMAGE CUSTOMIZATION WITH CAMERA VIEWPOINT CONTROL

ZERO SHOT CONTENT CUSTOMIZATION AND COMPOSITION

REMOVING DISTRIBUTIONAL DISCREPANCIES IN CAPTIONS FOR IMAGE-TEXT ALIGNMENT

COMPUTING PERCEPTUAL SIMILARITY DIRECTLY IN LATENT SPACE

GENERATING ITERATIVE INPAINTING DIGITAL IMAGES VIA NEURAL NETWORK BASED PERCEPTUAL ARTIFACT SEGMENTATIONS

INPAINTING PROMPT GENERATION USING OBJECT PREDICTION

SEAMLESS IMAGE EDITS USING CROSS-FRAME ATTENTION

CAPTIONING FOR IMAGE PERSONALIZATION

ONE-STEP DIFFUSION WITH DISTRIBUTION MATCHING DISTILLATION

IMAGE RELIGHTING USING MACHINE LEARNING

EDITING DIGITAL IMAGES WITH LOCAL REFINEMENT VIA SELECTIVE FEATURE TRIMMING

REAL-TIME TEXT-BASED DISENTANGLED REAL IMAGE EDITING

SELF ATTENTION REFERENCE FOR IMPROVED DIFFUSION PERSONALIZATION

SKETCH TO IMAGE GENERATION USING CONTROL NETWORK

ADAPTING GENERATIVE NEURAL NETWORKS USING A CROSS DOMAIN TRANSLATION NETWORK

CUSTOMIZING MOTION AND APPEARANCE IN VIDEO GENERATION

GENERATING MODIFIED DIGITAL IMAGES USING DEEP VISUAL GUIDED PATCH MATCH MODELS FOR IMAGE INPAINTING

UPSAMPLING LOW-RESOLUTION CONTENT WITHIN A HIGH-RESOLUTION IMAGE USING A GENERATIVE MODEL

CONTROLLING COMPOSITION AND STRUCTURE IN GENERATED IMAGES

IMAGE RELIGHTING

IMAGE INPAINTING USING A CONTENT PRESERVATION VALUE

DIGITAL IMAGE INPAINTING UTILIZING GLOBAL AND LOCAL MODULATION LAYERS OF AN INPAINTING NEURAL NETWORK

DEEP LEARNING-BASED HIGH RESOLUTION IMAGE INPAINTING

GENERATING COLLAGE DIGITAL IMAGES BY COMBINING SCENE LAYOUTS AND PIXEL COLORS UTILIZING GENERATIVE NEURAL NETWORKS

GENERATIVE IMAGE FILLING USING A REFERENCE IMAGE

MACHINE-LEARNING MODELS FOR DISTRACTOR SEGMENTATION WITH REDUCED USER INTERACTIONS

MASK-ROBUST IMAGE INPAINTING UTILIZING MACHINE-LEARNING MODELS

IMAGE GENERATION WITH MULTIPLE IMAGE EDITING MODES

ONE-CLICK IMAGE EXTENSION WITH QUICK MASK ADJUSTMENT

IMPROVING DIGITAL IMAGE INPAINTING UTILIZING PLANE PANOPTIC SEGMENTATION AND PLANE GROUPING

HIGH-RESOLUTION IMAGE GENERATION

INPAINTING DIGITAL IMAGES USING A HYBRID WIRE REMOVAL PIPELINE

TEXT-BASED IMAGE GENERATION

SUPER-RESOLUTION ON TEXT-TO-IMAGE SYNTHESIS WITH GANS

Utilizing generative models for resynthesis of transition frames in clipped digital videos

PARAMETRIC COMPOSITE IMAGE HARMONIZATION

FINE-TUNING AND CONTROLLING DIFFUSION MODELS

Product of variations in image generative models

TEXT AND COLOR-GUIDED LAYOUT CONTROL WITH A DIFFUSION MODEL

IMAGE AND OBJECT INPAINTING WITH DIFFUSION MODELS

EMBEDDING AN INPUT IMAGE TO A DIFFUSION MODEL

DIFFUSION MODELS HAVING CONTINUOUS SCALING THROUGH PATCH-WISE IMAGE GENERATION

IMAGE GENERATION USING A DIFFUSION MODEL

LEARNING PARAMETERS FOR NEURAL NETWORKS USING A SEMANTIC DISCRIMINATOR AND AN OBJECT-LEVEL DISCRIMINATOR

ITERATIVELY MODIFYING INPAINTED DIGITAL IMAGES BASED ON CHANGES TO PANOPTIC SEGMENTATION MAPS

GENERATING AND PROVIDING A PANOPTIC INPAINTING INTERFACE FOR GENERATING AND MODIFYING INPAINTED DIGITAL IMAGES

PANOPTICALLY GUIDED INPAINTING UTILIZING A PANOPTIC INPAINTING NEURAL NETWORK

Multidimentional image editing from an input image

GENERATION USING DEPTH-CONDITIONED AUTOENCODER

DEFORMABLE NEURAL RADIANCE FIELD FOR EDITING FACIAL POSE AND FACIAL EXPRESSION IN NEURAL 3D SCENES

Corrective lighting for video inpainting

GENERATING ITERATIVE INPAINTING DIGITAL IMAGES VIA NEURAL NETWORK BASED PERCEPTUAL ARTIFACT SEGMENTATIONS

Adapting generative neural networks using a cross domain translation network

GENERATING NEURAL NETWORK BASED PERCEPTUAL ARTIFACT SEGMENTATIONS IN MODIFIED PORTIONS OF A DIGITAL IMAGE

Wire segmentation for images using machine learning

Generating modified digital images via image inpainting using multi-guided patch match and intelligent curation

OBJECT CLASS INPAINTING IN DIGITAL IMAGES UTILIZING CLASS-SPECIFIC INPAINTING NEURAL NETWORKS

Digital image inpainting utilizing a cascaded modulation inpainting neural network

Transferring faces between digital images by combining latent codes utilizing a blending network

Diverse image inpainting using contrastive learning

GENERATING AND MODIFYING DIGITAL IMAGES USING A JOINT FEATURE STYLE LATENT SPACE OF A GENERATIVE NEURAL NETWORK

Semantic-aware initial latent code selection for text-guided image editing and generation

Enhancing detailed segments in latent code-based edited digital images

Harmonizing composite images utilizing a transformer neural network

User-guided image generation

Generating collage digital images by combining scene layouts and pixel colors utilizing generative neural networks

Learning parameters for generative inpainting neural networks utilizing object-aware training and masked regularization

Generating modified digital images incorporating scene layout utilizing a swapping autoencoder

Image inpainting based on multiple image transformations

High resolution conditional face generation

Disentangling latent representations for image reenactment

Image reprojection and multi-image inpainting based on geometric depth parameters

Digital image inpainting utilizing plane panoptic segmentation and plane grouping

Generating shadows for digital objects within digital images utilizing a height map

Generating modified digital images utilizing a global and spatial autoencoder

SEGMENTED DIFFERENTIABLE OPTIMIZATION WITH MULTIPLE GENERATORS

Labeling techniques for a modified panoptic labeling neural network

Neural network for image style translation

Generating synthesized digital images utilizing a multi-resolution generator neural network

Generating synthesized digital images utilizing class-specific machine-learning models

GENERATING MODIFIED DIGITAL IMAGES UTILIZING NEAREST NEIGHBOR FIELDS FROM PATCH MATCHING OPERATIONS OF ALTERNATE DIGITAL IMAGES

Style-aware audio-driven talking head animation from a single image

Iterative image inpainting with confidence feedback

Generating modified digital images using deep visual guided patch match models for image inpainting

Corrective lighting for video inpainting

Local neural implicit functions with modulated periodic activations

Few-shot digital image generation using gan-to-gan translation

Automated digital parameter adjustment for digital images

Image inpainting with geometric and photometric transformations

Image inpainting based on multiple image transformations

Generative image congealing

Generating modified digital images incorporating scene layout utilizing a swapping autoencoder

Techniques for smooth region merging in image editing

Detail-preserving image editing techniques

Attribute control techniques for image editing

IDENTITY-PRESERVING TECHNIQUES FOR GENERATIVE ADVERSARIAL NETWORK PROJECTION

Attribute decorrelation techniques for image editing

MULTI-SCALE OUTPUT TECHNIQUES FOR GENERATIVE ADVERSARIAL NETWORKS