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What is NVIDIA DLSS?

NVIDIA's Deep Learning Super Sampling (DLSS) stands as a leading-edge suite of AI-driven rendering technologies designed to enhance both the performance of gaming and the quality of visuals. By utilizing the power of GeForce RTX Tensor Cores, DLSS significantly boosts frame rates while delivering sharp, high-resolution visuals that rival native quality. The latest iteration, DLSS 4, introduces a range of groundbreaking features. It harnesses AI to generate up to three additional frames for every single frame rendered through traditional methods, potentially increasing performance by up to eight times relative to conventional rendering techniques, all while maintaining low latency thanks to NVIDIA Reflex. Furthermore, it replaces traditional, manually tuned denoisers with an AI-trained network, resulting in enhanced pixel quality in ray-traced settings. This enhancement produces improved lighting effects and more accurate reflections. Additionally, it employs AI to upscale visuals from lower resolutions to higher ones without sacrificing clarity or detail. With the launch of a new transformer-based AI model, stability between frames sees a remarkable boost, resulting in an even more fluid gaming experience. This impressive array of advancements not only underscores NVIDIA's dedication to advancing gaming technology but also sets a new standard for visual fidelity in the gaming industry.

What is Img.Upscaler?

By harnessing advanced AI and Super-Resolution techniques, the upscaling process has been notably expedited, now taking only seconds to complete. All images will be efficiently processed and cleared within 24 hours, putting your privacy first and allowing you to trust our services fully. To easily observe the improvements, you can hover your mouse over the image for a before-and-after comparison. The AI's performance is optimized when the initial small image is clear, enabling a more precise enhancement. When working with actual photographs, ImgLarger shines by retrieving fine details, producing a sharper image than ImgUpscaler, which might compromise some detail for quicker enlargement. Concurrently, Waifu2x stands out as an open-source project dedicated to super-resolution in Anime-style art, influencing several other applications like Bigjpg and Vanceai. ImgUpscaler distinguishes itself by refining the anime upscaling procedure through a unique model that not only boosts detail but also minimizes noise for exceptional image quality, making it a top choice for high-quality enhancements. This advantage solidifies ImgUpscaler’s reputation as a frontrunner in the image enhancement technology sector, continuously raising the standards in the industry. In a landscape filled with options, ImgUpscaler remains committed to delivering outstanding results that exceed user expectations.

Media

Media

Integrations Supported

NVIDIA Reflex
Unity
Unreal Engine

Integrations Supported

NVIDIA Reflex
Unity
Unreal Engine

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$99 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/rtx/dlss

Company Facts

Organization Name

Img.Upscaler

Company Website

imgupscaler.com

Categories and Features

Game Development

2D
3D
Analytics
Animation
Asset Management
Drag & Drop
IT Asset Management
Network Management
Physics
Player Management
Prototyping
Virtual Reality
eCommerce

Categories and Features

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