Google Patents a Flow-Model Approach to Train NeRFs on Sparse Photos
Neural Radiance Fields are extraordinary at reconstructing 3D scenes — but they usually demand dozens or hundreds of photos to work well.…
World models and digital twins: AI that predicts physics, builds 3D scenes, and rehearses reality before acting in it. Early, strange, and worth tracking.
Neural Radiance Fields are extraordinary at reconstructing 3D scenes — but they usually demand dozens or hundreds of photos to work well.…
Most 3D scene synthesis systems spend enormous effort building an explicit map of the world — depth, meshes, NeRFs — before they…
What if a self-driving car or robot could see the world through two lenses at once — one real, one simulated —…
Running a data center is essentially a giant thermal management problem — and Nvidia wants to replace physical trial-and-error with neural networks…
3D Gaussian Splatting is the hottest technique in real-time scene reconstruction right now — but it breaks down when cameras have fisheye…
Nvidia has filed a patent for a system that takes ordinary multi-camera video and generates a full 3D volumetric snapshot of a…
Nvidia has filed a patent describing a machine learning pipeline that takes a series of ordinary images shot across time and reconstructs…
Labeling 3D training data is brutally expensive — every image needs a human to annotate depth, geometry, and camera angles. Nvidia's new…
Running a molecular simulation is brutally expensive — every atom's movement depends on forces from every neighbor, and you have to recalculate…
Nvidia has filed a patent describing an AI pipeline that takes a plain text prompt — think "a living room with a…
Getting a computer to understand where your limbs are in 3D space from a single flat photo is surprisingly hard — and…
Sony is filing patents for a system that takes a real photo of you and a few text descriptors, then generates an…
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