Pika.art – an AI for creating videos from stills
/ A.I.

https://pika.art

 

“It converts simple text instructions into captivating videos, in seconds.
The story behind this AI is fascinating: A team of four engineers, led by Demi Guo and Chenlin Meng, was born with a clear vision: to transform video creation.
After raising $55 million, Pika Labs initially focused on Japanese anime-style animations before expanding into 3D animation”

 

DiffusionLight: HDRI Light Probes for Free by Painting a Chrome Ball
/ lighting, photography, production

https://diffusionlight.github.io/

 

 

https://github.com/DiffusionLight/DiffusionLight

 

https://github.com/DiffusionLight/DiffusionLight?tab=MIT-1-ov-file#readme

 

https://colab.research.google.com/drive/15pC4qb9mEtRYsW3utXkk-jnaeVxUy-0S

 

“a simple yet effective technique to estimate lighting in a single input image. Current techniques rely heavily on HDR panorama datasets to train neural networks to regress an input with limited field-of-view to a full environment map. However, these approaches often struggle with real-world, uncontrolled settings due to the limited diversity and size of their datasets. To address this problem, we leverage diffusion models trained on billions of standard images to render a chrome ball into the input image. Despite its simplicity, this task remains challenging: the diffusion models often insert incorrect or inconsistent objects and cannot readily generate images in HDR format. Our research uncovers a surprising relationship between the appearance of chrome balls and the initial diffusion noise map, which we utilize to consistently generate high-quality chrome balls. We further fine-tune an LDR difusion model (Stable Diffusion XL) with LoRA, enabling it to perform exposure bracketing for HDR light estimation. Our method produces convincing light estimates across diverse settings and demonstrates superior generalization to in-the-wild scenarios.”

 

Lance LeFort – The Decline of After-Hours Company Events: Unraveling the Shift in Employee Participation and Retention Strategies
/ ves

The Decline of After-Hours Company Events: Unraveling the Shift in Employee Participation and Retention Strategies

 

The Critical Question: How Are Companies Responding?

  • Long-Term Retention Strategies
  • Flexible Work Arrangements
  • Tailored Employee Benefits
  • Revitalizing In-House Socialization
  • Regular Feedback and Recognition:
Protected: Jan van den Hemel – Blender Secrets
/ blender, production

This content is password protected. To view it please enter your password below:

3D Gaussian Splatting step by step beginner course
/ A.I., photogrammetry

 

 

 

 

https://www.reshot.ai/3d-gaussian-splatting

 

 what are 3D Gaussians? They are a generalization of 1D Gaussians (the bell curve) to 3D. Essentially they are ellipsoids in 3D space, with a center, a scale, a rotation, and “softened edges”.

 

 

Each 3D Gaussian is optimized along with a (viewdependant) color and opacity. When blended together, here’s the visualization of the full model, rendered from ANY angle. As you can see, 3D Gaussian Splatting captures extremely well the fuzzy and soft nature of the plush toy, something that photogrammetry-based methods struggle to do.

 

https://towardsdatascience.com/a-comprehensive-overview-of-gaussian-splatting-e7d570081362

Midjourney v6 beta released
/ A.I.

 

 

Rory Flynn – Usage examples (Large PDF)

 

Download link

https://pixelshame.com/wp-content/uploads/2023/12/MidJourney6.pdf

 

Copyright-related challenges

SVG to Blender
/ blender, software

 

https://www.youtube.com/shorts/2VQDBEKiraA

 

EPS to SVG
https://www.freeconvert.com/eps-to-svg/download

Best 3D Printers of 2023! A Guide for Beginners, Budgets, & More!
/ 3Dprinting, hardware

 

~Low Budget~

 

~Medium Budget~

 

~High Budget~

 

~Experienced User~

Render in a Flash with Updates to Autodesk Arnold 7.2.5
/ software

https://blogs.autodesk.com/media-and-entertainment/2023/12/13/render-in-a-flash-with-updates-to-arnold/

 

Arnold 7.2.5 adds support for NVIDIA and Intel GPU denoising on Windows in the Intel Denoiser. Denoising with a GPU using the Intel Denoiser should be now between 10x and 20x faster.

 

 

https://help.autodesk.com/view/ARNOL/ENU/?guid=arnold_core_7250_html