We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
4d (time+stereo) strong physical stereo-consistent, any camera pose, offline render, interactive semantic highly-controllable，world.
OR
way 2: online/implicit
binocular stereo-consistent generate, observe pose in-place change, online realtime, interactive semantic highly-controllable，world.
and: the technical path is: train by binocular-video in Unreal Engine or Physical World.
one step take all:
way 1: offline/explicit
OR
way 2: online/implicit binocular stereo-consistent generate, observe pose in-place change, online realtime, interactive semantic highly-controllable，world. and: the technical path is: train by binocular-video in Unreal Engine or Physical World.
你们团队很强，有能力做到这种效果。 视觉游戏的终局。
你们这个项目，直接用在立体/双目场景上就可以了。