DiPIR
Achieve realistic object insertion using diffusion-guided inverse rendering technology.
CommonProductImageImage SynthesisVirtual Objects
DiPIR is a physics-based method co-developed by the Toronto AI Lab and NVIDIA Research, which recovers scene lighting from a single image, allowing virtual objects to be inserted realistically into both indoor and outdoor scenes. This technology not only optimizes material and tone mapping but also automatically adjusts to different environments to enhance the realism of the images.
DiPIR Visit Over Time
Monthly Visits
240097
Bounce Rate
63.46%
Page per Visit
2.0
Visit Duration
00:01:01