TAIPEI, Sept. 21, 2022 /PRNewswire/ The long-awaited NVIDIA GeForce RTX 40 series graphics cards have finally arrived. To fully unleash the beastly performance of these next-gen powerhouses, GIGABYTE rolled out its top-of-the-line AORUS graphics cards with amped-up designs and improved features, giving hardcore gamers and content creators more of everything. Powered by the new ultra-efficient NVIDIA Ada Lovelace architecture, the 3rd generation of RTX, GeForce RTX 40 Series graphics cards are beyond fast, giving gamers and creators a quantum leap in performance, neural rendering, and many more leading platform capabilities. This massive advancement in GPU technology is the gateway to the most immersive gaming experiences, incredible AI features and the fastest content creation workflows. These GPUs push state-of-the-art graphics into the future. The AORUS graphics cards are rocking the iconic WINDFORCE cooling system on the RTX 40 series family. Featuring the new fan blades and a spe
HSINCHU, Sept. 21, 2022 /PRNewswire/ PNY announced today the expansion of its NVIDIA GeForce RTXXLR8 Gaming family of GPUs with the addition of the new VERTO GeForce RTX 4090, GeForce RTX 4080 16GB and GeForce RTX 4080 12GB. Powered by the new ultra-efficient NVIDIA Ada Lovelace architecture, the 3rd generation of RTX, GeForce RTX 40 Series graphics cards are beyond fast, giving gamers and creators a quantum leap in performance, neural rendering, and many more leading platform capabilities. This massive advancement in GPU technology is the gateway to the most immersive gaming experiences, incredible AI features and the fastest content creation workflows. These GPUs push state-of-the-art graphics into the future. The PNY XLR8 Gaming GeForce RTX 40 Series line of GPUs will be available in three different configurations: RTX 4090, RTX 4080 16GB and RTX 4080 12GB, all powered by the NVIDIA Ada Lovelace and the 3rd generation of NVIDIA RTX GPUs, providing enhanced gaming realism, powerful
Researchers at MIT and elsewhere have demonstrated a novel technique that vastly increases the speed of rendering 3D scenes from images by using a neural network to reconstruct the 360-degree light field of the underlying 3D scene.
Omnimatte: Associating Objects and Their Effects in Video
We pose a novel problem: automatically associating subjects in videos with ‘effects’ related to them in the scene. Given an input video (top) and rough masks of subjects of interest (middle), our method estimates an
omnimatte – an alpha matte and foreground color that includes the subject itself along with all scene elements associated with it (bottom). The associated elements can be other objects attached to the subject or moving with it, or complex effects such as shadows, reflections, smoke, or ripples the subject creates in water.
Abstract
Computer vision is increasingly effective at segmenting objects in images and videos; however, scene effects related to the objects shadows, reflections, generated smoke, etc are typically overlooked. Identifying such scene effects and associating them with the objects producing them is important for improving our fundamental understanding of visual scenes, and can also assis
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Yesterday some extraordinary new work in neural image synthesis caught the attention and the imagination of the internet, as Intel researchers revealed a
new method for enhancing the realism of synthetic images.
The system, as demonstrated in a video from Intel, intervenes directly into the image pipeline for the Grand Theft Auto V video game, and automatically enhances the images through an image synthesis algorithm trained on a convolutional neural network (CNN), using real world imagery from the Mapillary dataset, and swapping out the less realistic lighting and texturing of the GTA game engine.
Commenters, in a wide range of reactions in communities such as Reddit and Hacker News, are positing not only that neural rendering of this type could effectively replace the less photorealistic output of traditional games engines and VFX-level CGI, but that this process could be achieved with far more basic input than was demonstrated in the Intel GTA5 demo effec