Adobe Inc. patent applications published on September 12th, 2024
Summary of the patent applications from Adobe Inc. on September 12th, 2024
- Summary:**
Adobe Inc. has recently filed patents for innovative technologies in the fields of image caption evaluation systems, transferring modifications between 3D models, machine learning-based layout recommendation, and advanced vector graphics representation. These patents introduce novel methods and systems to enhance various design and visualization processes, improving efficiency and accuracy in creating visual content.
- Key Points of Patents:**
- Training system for image caption evaluation using visual and text embeddings. - Perturbation-aware text encoder for handling perturbed image captions. - Methods for transferring modifications between different types of 3D models. - Generation of recommended layouts based on design elements using a generative layout model. - Encoding semantic and geometric information for vector graphics representation.
- Notable Applications:**
- Enhanced image caption evaluation systems for businesses. - Improved design processes in architecture, engineering, and animation industries. - Streamlined layout design in graphic design software. - Advanced visualization in graphic design, printing, CAD, and virtual reality applications.
Summary of the patent applications from Adobe Inc. on September 12th, 2024
- Summary:**
Adobe Inc. has recently filed patents for innovative technologies in the fields of image caption evaluation systems, transferring modifications between 3D models, machine learning-based layout recommendation, and advanced vector graphics representation. These patents introduce novel methods and systems to enhance various design and visualization processes, improving efficiency and accuracy in creating visual content.
- Key Points of Patents:**
- Training system for image caption evaluation using visual and text embeddings. - Perturbation-aware text encoder for handling perturbed image captions. - Methods for transferring modifications between different types of 3D models. - Generation of recommended layouts based on design elements using a generative layout model. - Encoding semantic and geometric information for vector graphics representation.
- Notable Applications:**
- Enhanced image caption evaluation systems for businesses. - Improved design processes in architecture, engineering, and animation industries. - Streamlined layout design in graphic design software. - Advanced visualization in graphic design, printing, CAD, and virtual reality applications.
Contents
- 1 Patent applications for Adobe Inc. on September 12th, 2024
- 1.1 COMPUTING RESOURCE ALLOCATION MECHANISM TESTING AND DEPLOYMENT (18178715)
- 1.2 MULTI-PLATFORM NEURAL NETWORK DEPLOYMENT (18119488)
- 1.3 EXPLOITING DOMAIN-SPECIFIC LANGUAGE CHARACTERISTICS FOR LANGUAGE MODEL PRETRAINING (18181044)
- 1.4 RESOURCE PROVISIONING BY A REINFORCEMENT LEARNING FRAMEWORK USING GUIDED ORDERING OF SERVICES (18120088)
- 1.5 FRAUD DETECTION IN NFT EXCHANGES (18181018)
- 1.6 INPAINTING DIGITAL IMAGES USING A HYBRID WIRE REMOVAL PIPELINE (18179855)
- 1.7 REPRESENTATION LEARNING FOR CONTINUOUS VECTOR GRAPHICS (18179487)
- 1.8 MACHINE LEARNING-BASED LAYOUT GENERATION (18178791)
- 1.9 EDITING THREE-DIMENSIONAL MODELS UTILIZING IMPLICIT FUNCTION HANDLES (18181232)
- 1.10 PERTURBATION ROBUST METRIC FOR EVALUATING IMAGE CAPTIONS (18179177)
Patent applications for Adobe Inc. on September 12th, 2024
COMPUTING RESOURCE ALLOCATION MECHANISM TESTING AND DEPLOYMENT (18178715)
Main Inventor
Raunak Shah
MULTI-PLATFORM NEURAL NETWORK DEPLOYMENT (18119488)
Main Inventor
Zichuan LIU
EXPLOITING DOMAIN-SPECIFIC LANGUAGE CHARACTERISTICS FOR LANGUAGE MODEL PRETRAINING (18181044)
Main Inventor
Inderjeet Jayakumar Nair
RESOURCE PROVISIONING BY A REINFORCEMENT LEARNING FRAMEWORK USING GUIDED ORDERING OF SERVICES (18120088)
Main Inventor
Tong YU
FRAUD DETECTION IN NFT EXCHANGES (18181018)
Main Inventor
Raunak Shah
INPAINTING DIGITAL IMAGES USING A HYBRID WIRE REMOVAL PIPELINE (18179855)
Main Inventor
Yuqian Zhou
REPRESENTATION LEARNING FOR CONTINUOUS VECTOR GRAPHICS (18179487)
Main Inventor
Defu Cao
MACHINE LEARNING-BASED LAYOUT GENERATION (18178791)
Main Inventor
Sukriti VERMA
EDITING THREE-DIMENSIONAL MODELS UTILIZING IMPLICIT FUNCTION HANDLES (18181232)
Main Inventor
Uday Kusupati
PERTURBATION ROBUST METRIC FOR EVALUATING IMAGE CAPTIONS (18179177)
Main Inventor
Seunghyun YOON
