Author Archives: Rajkumar Lakshmanamoorthy - Page 7
HiSD controls the image-to-image translation process via Hierarchical Style Disentanglement based on tags, attributes and styles.
The post Python Guide to HiSD: Image-to-Image translation via Hierarchical Style Disentanglement appeared first on Analytics India Magazine.
T2T-ViT employs progressive tokenization that takes patches of an image and converts it into an overlapped-token over a few iterations
The post Complete Guide to T2T-ViT: Training Vision Transformers Efficiently with Minimal Data appeared first on Analytics India Magazine.
T2T-ViT employs progressive tokenization that takes patches of an image and converts it into an overlapped-token over a few iterations
The post Complete Guide to T2T-ViT: Training Vision Transformers Efficiently with Minimal Data appeared first on Analytics India Magazine.
T2T-ViT employs progressive tokenization that takes patches of an image and converts it into an overlapped-token over a few iterations
The post Complete Guide to T2T-ViT: Training Vision Transformers Efficiently with Minimal Data appeared first on Analytics India Magazine.
T2T-ViT employs progressive tokenization that takes patches of an image and converts it into an overlapped-token over a few iterations
The post Complete Guide to T2T-ViT: Training Vision Transformers Efficiently with Minimal Data appeared first on Analytics India Magazine.
Entity Constrained Insertion Transformer, shortly known as the ENCONTER, introduces entity constraints to control text generation efficiently
The post Complete Guide to ENCONTER: Entity Constrained Insertion Transformer for Language Modeling appeared first on Analytics India Magazine.
Entity Constrained Insertion Transformer, shortly known as the ENCONTER, introduces entity constraints to control text generation efficiently
The post Complete Guide to ENCONTER: Entity Constrained Insertion Transformer for Language Modeling appeared first on Analytics India Magazine.
Novel view synthesis finds interesting applications in movie production, sports broadcasting and telepresence. Novel view synthesis is the process of generating a 3D view, or sometimes 3D scene, with the available 2D images captured from different poses, orientations and illuminations. Human body view synthesis is one of the challenging problems, especially the human body, which…
The post Python Guide to Neural Body: Converting 2D images to 3D appeared first on Analytics India Magazine.
Novel view synthesis finds interesting applications in movie production, sports broadcasting and telepresence. Novel view synthesis is the process of generating a 3D view, or sometimes 3D scene, with the available 2D images captured from different poses, orientations and illuminations. Human body view synthesis is one of the challenging problems, especially the human body, which…
The post Python Guide to Neural Body: Converting 2D images to 3D appeared first on Analytics India Magazine.
Novel view synthesis finds interesting applications in movie production, sports broadcasting and telepresence. Novel view synthesis is the process of generating a 3D view, or sometimes 3D scene, with the available 2D images captured from different poses, orientations and illuminations. Human body view synthesis is one of the challenging problems, especially the human body, which…
The post Python Guide to Neural Body: Converting 2D images to 3D appeared first on Analytics India Magazine.