YouTube video by Conway Insights

YouTube video by YouTube Movies

YouTube video by Conway Insights

ALT: Didier Adlp Funny Face Moment

YouTube video by YouTube Movies

L'Autoroute de la Pluie | 6,522 followers on LinkedIn. Agroécologie et solutions fondées sur la nature - de l'eau et des plantes - Génie végétal et bioclimatique | L'Autoroute de la Pluie...

Dans une interview, Flavie, la prétendante et l’ex-compagne de Valentin, ancien candidat normand de L’Amour est dans le pré, a annoncé une bonne nouvelle.

Ce soir, après la dernière émission, participez en direct à un chat avec Sandrine et tous les agriculteurs !

Listen to Jake’s new album, “Loose Cannon” now: https://jakeowen.lnk.to/LooseCannon Stay connected for exclusive updates:▸Website: https://jakeowen.net/▸ Sho...

The ADLP Aspire Login 2025 portal supports Punjab's teacher professional development and training initiative. We created the Aspire LMS Login to enhance Punjab education by providing teachers with the latest knowledge, skills, and tools. The ADLP Aspire Login 2025 portal, located at adl.pesrp.edu.pk/login, is crucial to the Punjab Government's ASPIRE Project under the Program Monitoring and Implementation Unit. ADLP Aspire LMS Login 2025 For Teachers Training…

https://cran.r-project.org/package=ADLP

YouTube video by Conway Insights

My handbook on #GaussianSplatting is out! Here is what I learned 👇 1) 3DGS is (almost always) about appearance A splat is essentially a dense set of tiny 3D ellipsoids (“blobs”) with attributes like position, orientation, scale, opacity, and view-dependent color (often via spherical harmonics). That view-dependent color is why splats can look shockingly real, especially on reflective or complex materials. For precision and accuracy, you might need to look somewhere else. 2) The mesh comparison is the wrong fight... for now Meshes still win when you need geometry to behave like geometry: collisions, physics, rigging, deformation, relighting, gameplay logic. Splats win when you need reality to look like reality: clutter, foliage, hair, fabric, semi-transparency, messy micro-detail, and fast photoreal exploration. If you need to edit and simulate, use meshes. If you need faithful capture and real-time viewing, use splats.... for now. Pipelines are evolving and new approaches are emerging. 3) Picking between cloud and local tools for reconstruction can be tricky Cloud tools optimise for speed and accessibility. Local tools optimize for control, ownership, and commercial reliability. The market is evolving quickly, and “best” depends on whether you value iteration speed, export flexibility, or fine-grained training settings... and if you have a powerful enough machine to run the reconstruction. 4) 360 cameras and SLAM scanners are powerful, but come with trade-offs 360 capture can be incredibly efficient, but you inherit resolution, stitching, and “operator-in-shot” issues. With scanners, I finally learned the difference between LiDAR (great geometry) from SLAM (motion + mapping + pose estimation). 2026 will also see more SLAM scanners coming to the market all based on the same LiDAR sensor 🤔 5) Synthetic splats are the most underestimated category Camera arrays in Blender/Unity/Unreal, AI-generated video inputs, and 3D GenAI-to-splats workflows open up entirely new creative directions. They are fragmented today, but they already enable fast “photoreal” assets where real-time mesh rendering would be too expensive. 6) The real opportunity is publishing and distribution Splats are uniquely good for web viewing, lightweight presentations, fast location capture, and increasingly VR exploration. They are also showing up in VFX and virtual production, even if relighting remains a central challenge. If you want to get the full handbook containing over 200+ links to additional resources, subscribe to XR AI Spotlight Pro and you will get the full PDF directly in your inbox (link on top of my profile). It is available only until the 28th of January. | 11 comments on LinkedIn

The National Institute of Standards and Technology (NIST) announced that S. Shyam Sunder has been selected as its new Associate Director for Laboratory Programs (ADLP).