The barrier to entry has collapsed. Go get 3D. What would you generate first if you could create 3D models with an AI prompt? A fantasy sword? A sci-fi vehicle? Let me know in the comments below.
When it worked, it was magic. Playing Batman: Arkham Asylum or Left 4 Dead 2 with depth perception actually gave you a gameplay advantage. You could see the exact distance of a zombie lunging at you. nvidia get 3d
Let’s look at two very different eras of NVIDIA’s 3D journey: the retro classic and the bleeding edge. If you were a PC gamer in 2009, you remember NVIDIA 3D Vision . The setup was intense: a 120Hz monitor (rare at the time), a special IR emitter, and a pair of chunky, battery-powered shutter glasses. The barrier to entry has collapsed
We may never all wear glasses to watch movies again. But thanks to generative AI, we are all about to become 3D creators. A fantasy sword
Here is why this changes everything: Unlike the old 3D Vision days, you don't need special glasses or monitors. You just need an NVIDIA GPU with Tensor Cores. The AI does the heavy lifting. 2. The "2D to 3D" Pipeline GET3D was trained on 2D images. The AI learned what a car, a chair, or a human looks like from every angle. Now, you hit a button, and the AI hallucinates the geometry, the texture, and the normal map simultaneously. You get a standard .obj or .gltf file ready to drop into Unreal Engine, Blender, or Unity. 3. Latent Space Editing This is the sci-fi part. Because GET3D uses a latent space (similar to Stable Diffusion), you can "morph" objects. Want a sedan that looks like a sports car? Drag a slider. Want a chair that is half wooden, half metal? Mix two latent vectors. You aren't modeling anymore; you are sculpting math . Why You Should Care (Even if you aren't a developer) Whether you are a game dev trying to populate an open world, an architect rendering a city block, or a VR creator building a metaverse, the bottleneck has always been asset creation .