VFX House DNEG Acquires Exclusive License to Ziva Technologies From Unity
“Unity has also entered into an agreement with DNEG, a leading technology-enabled visual effects (VFX) and animation company for the creation of feature film, television, and multiplatform content, for an exclusive perpetual license of the Ziva IP. Unity will continue to retain ownership of all the technology acquired from Ziva Dynamics, and we will continue to evaluate the best way to enhance our core offerings with it over time.”
Foundry Nuke – VectorFrameBlend v1.1 by Nikolai Wüstemann – Blend up to 11 nearby frames together, while preserving all detail
https://www.nukepedia.com/gizmos/time/vectorframeblend
Blend up to 11 nearby frames together, while preserving all detail
VectorFrameBlend can average/median/min/max/plus up to +- 5 frames with full motion awareness. Compared to the last version or other similar solutions, I built it as technically correct as possible and it provides thorough settings to improve the filtering quality and edge cases (literally).
You can also use the ‘External’ mode and connect the ‘vec’ input to another VectorFrameBlend, to use its internally generated vectors.
This can be useful, if you want to analyse a certain layer (for example a diffuse color pass that holds a lot of clean details), but apply the frame blending on somewhere else. Apart from that, the tool can of course be used on live action plates, utility passes or whatever comes to mind.
iPhone 15 Pro Anamorphic Experiment – “What Makes a Cinema Camera” by Michael Cioni/Strada
For Michael Cioni, a cinema camera has to fulfill five requisites:
- Cinematic resolution
- Intraframe encoding
- High dynamic range
- Wide color gamut (10-bit or more)
- Removable lenses
For now, the iPhone 15 Pro meets four out of these five requirements, all except the last one.
Google – Artificial Intelligence free courses
1. Introduction to Large Language Models: Learn about the use cases and how to enhance the performance of large language models.
https://www.cloudskillsboost.google/course_templates/539
2. Introduction to Generative AI: Discover the differences between Generative AI and traditional machine learning methods.
https://www.cloudskillsboost.google/course_templates/536
3. Generative AI Fundamentals: Earn a skill badge by demonstrating your understanding of foundational concepts in Generative AI.
https://www.cloudskillsboost.google/paths
4. Introduction to Responsible AI: Learn about the importance of Responsible AI and how Google implements it in its products.
https://www.cloudskillsboost.google/course_templates/554
5. Encoder-Decoder Architecture: Learn about the encoder-decoder architecture, a critical component of machine learning for sequence-to-sequence tasks.
https://www.cloudskillsboost.google/course_templates/543
6. Introduction to Image Generation: Discover diffusion models, a promising family of machine learning models in the image generation space.
https://www.cloudskillsboost.google/course_templates/541
7. Transformer Models and BERT Model: Get a comprehensive introduction to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model.
https://www.cloudskillsboost.google/course_templates/538
8. Attention Mechanism: Learn about the attention mechanism, which allows neural networks to focus on specific parts of an input sequence.
https://www.cloudskillsboost.google/course_templates/537
Neural Radiance Fields (NeRFs) at Mapillary
Today, Mapillary is launching NeRFs, a new feature that will allow you to explore landmarks and popular sites in detailed 3D views – all reconstructed from 2D images uploaded to Mapillary.
https://blog.mapillary.com/update/2024/03/11/Mapillary-NeRF.html
https://www.mapillary.com/app/?lat=17.751177534360437&lng=0&z=1.5
