Stable Video Diffusion Uses Generative AI to Create Multi-View Videos from Images

Stable Video Diffusion Uses Generative AI to Create Multi-View Videos from Images

Stable Video Diffusion Generative AI
From the team behind Stable Diffusion XL, comes Stable Video Diffusion, which essentially uses two generative AI-based models to create multi-video views from images. These video models can be quickly adapted to various downstream tasks, such as multi-view synthesis from a single image with fine-tuning on multi-view datasets.



Stable Video Diffusion is basically a latent video diffusion model for high-resolution, cutting edge text-to-video and image-to-video generation. Unlike other latent diffusion models trained for 2D image synthesis that have been turned into generative video models by inserting temporal layers, this one is capable of generating video 14-25 frames long at speeds between 3-30 frames per second at 576 × 1024 resolution. Get the code here.

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Stable Video Diffusion Generative AI

However, training methods in the literature vary widely, and the field has yet to agree on a unified strategy for curating video data. In this paper, we identify and evaluate three different stages for successful training of video LDMs: text-to-image pretraining, video pretraining, and high-quality video fine-tuning,” said the team.

[Source]


Author
Bill Smith

When it comes to cars, video games or geek culture, Bill is an expert of those and more. If not writing, Bill can be found traveling the world.

Samsung Gauss Generative AI Model Announced, Will be Used on Future Smartphones

Samsung Gauss Generative AI Model Announced, Will be Used on Future Smartphones

Samsung Gauss Generative AI Model Smartphones
Photo credit: Source]
Samsung Gauss was announced today at the company’s AI Forum 2023, and this generative AI model basically enhances work efficiency by facilitating tasks such as composing emails, summarizing documents and translating content.



Samsung Gauss is also capable of enhancing the consumer experience by enabling smarter device control when integrated into products. The live Samsung Gauss Code and a coding assistant (code.i) are both optimized for in-house software development, enabling developers to code easily and quickly. It’s also a generative image model that can easily generate and edit creative images, such as style changes as well as additions, while also converting low-resolution images to high-resolution.

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Samsung Gauss Generative AI Model Smartphones

We will continue to support and collaborate with the industry and academia on generative AI research.” said Daehyun Kim, Executive Vice President of the Samsung Research Global AI Center.

[Source]


Author
Jackson Chung

A technology, gadget and video game enthusiast that loves covering the latest industry news. Favorite trade show? Mobile World Congress in Barcelona.

NVIDIA HGX H200 GPU Unveiled, Designed for Generative AI and High Performance Computing Workloads

NVIDIA HGX H200 GPU Unveiled, Designed for Generative AI and High Performance Computing Workloads

NVIDIA HGX H200 GPU Reveal Generative AI Supercomputer
The NVIDIA HGX H200 GPU was unveiled today, and it’s designed for generative AI and high performance computing workloads. Based on NVIDIA Hopper architecture, H200 is the first GPU to come equipped with HBM3e capable of delivering 141GB of memory at 4.8 terabytes per second.

NVIDIA H200 will be offered in NVIDIA HGX H200 server boards with four- and eight-way variants, both of which are compatible with the hardware as well as software of HGX H100 systems. It is also set to be available in the NVIDIA GH200 Grace Hopper Superchip with HBM3e, enabling it to be deployed in every type of data center, including on premises, cloud, hybrid-cloud as well as edge.

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NVIDIA HGX H200 GPU Reveal Generative AI Supercomputer

To create intelligence with generative AI and HPC applications, vast amounts of data must be efficiently processed at high speed using large, fast GPU memory. With NVIDIA H200, the industry’s leading end-to-end AI supercomputing platform just got faster to solve some of the world’s most important challenges,” said Ian Buck, vice president of hyperscale and HPC at NVIDIA.

[Source]


Author
Bill Smith

When it comes to cars, video games or geek culture, Bill is an expert of those and more. If not writing, Bill can be found traveling the world.

Honor Magic 6 Smartphone Features Eye-Tracking Technology and On-Device Generative AI

Honor Magic 6 Smartphone Features Eye-Tracking Technology and On-Device Generative AI

Honor Magic 6 Smartphone Eye-Tracking Generative AI
During Qualcomm’s Snapdragon Summit 2023, the Honor Magic 6 smartphone was teased and we got a preview of its eye-tracking as well as on-device generative AI. Thanks to the power of Snapdragon Seamless technology, this device is able to offer Magic Eye, an eye-tracking based multimodal interaction, which basically lets you navigate parts of the UI with your eyes.



What is on-device generative AI? Well, it leverages Snapdragon 8 Gen 3’s integrated generative AI language models to the Honor Magic 6’s YOYO personal assistant. The large language model (LLM) utilizes up to 7 billion parameters without having to transmit any personal data remotely back to Honor to function properly. This means you’ll get instant answers to question and have the ability to create short videos using photos and footage stored on the smartphone.

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Author
Jackson Chung

A technology, gadget and video game enthusiast that loves covering the latest industry news. Favorite trade show? Mobile World Congress in Barcelona.