News : Worldwide Rush - Announcement Trailer

... from 7 days ago :

News : BlizzCon | Announce Trailer

News : New changes in pluralsight website.

I leran from this website and I tested my skills and is a great tool with certification and training.

Is a little bit expensive for me because I learn a lot of programming, design, game engines and API.

If I had gotten certificates for everything, for how much the exams cost, I would have to be very rich.

The only way to make a correct statement without enormous cost is online tests and the results obtained and the webiste comes with tested area.

The area of learning is:

• IT Ops
• Cloud
• Security
• Project Management
• Data
• Software Development
• Popular Certifications
• Newest

The newest now has Iris witch is a: Jumpstart a new conversation with one of our quick prompts.

See some my tested and learning skills on this website:

News : CGI & VFX Breakdowns: "Guest From The Future" - by Main Road Post | TheCGBros

... another video from the TheCGBos - youtube channel !

News : A New A.I Render Engine For Blender Is Coming!

... a good video from askNK about the new A.I. render engine and blender 3D software.

News : Date Everything! | Meet Harper & Dirk played by Laura Bailey & Johnny Yong Bosch

News : Creator Portal: Publishing & Managing Islands in FN & Growing your Player Base | Unreal Fest 2024 !

News : Inside Star Citizen: Dev Diary - Performance Artist.

News : NVIDIA GTC 2025 Keynote Teaser

News : CLIP-Fusion: A Spatio-Temporal Quality Metric for Frame Interpolation

... two weeks old news from DisneyResearchHub.

Video frame interpolation (VFI) is an ill-posed problem, and a wide variety of methods have been proposed, ranging from more traditional computer vision strategies to the most recent developments with neural network models. Although there are many methods to interpolate video frames, quality assessment regarding the resulting artifacts from these methods remains dependent on off-the-shelf methods. Although these methods can make accurate quality predictions for many visual artifacts such as compression, blurring, and banding, their performance is mediocre for VFI artifacts due to the unique spatio-temporal qualities of such artifacts. To address this, we aim to leverage semantic feature extraction capabilities of the pre-trained visual backbone of CLIP. Specifically, we adapt its multi-scale approach to our feature extraction network and combine it with the spatio-temporal attention mechanism of the Video Swin Transformer. This allows our model to detect interpolation-related artifacts across frames and predict the relevant differential mean opinion score. Our model outperforms existing state-of-the-art quality metrics for assessing the quality of interpolated frames in both full-reference (FR) and no-reference (NR) settings.

News : Aloft – Critters & Wonders Update

News : Dune: Awakening | Exploring Arrakis — Secrets of the Desert