This week, NVIDIA Research Labs unveiled WYSIWYG – What you See Is What You GAN – a model led by Alex Trevithick – an *intern* at the time.
The main focus on WYSIWYG is the ability to simultaneously generate super-resolution 2D RGB images AND massive polygon count/near-perfectly normalised 3D meshes.
New from researchers at Tsinghua University and Harvard University comes LangSplat – a method of integrating a natural language search capability over a segmented NeRF – some 200 times faster and orders of magnitude more accurate than its predecessor.
Streamable NeRFs (SMERFs) is/are the new concept of being able to reframe any user input or movement with a new high-fidelity Neural Radiance Field, on-the-fly.