How high-level semantic cues guide the diffusion process to differentiate between overlapping object boundaries.
Comparison against NYU Depth V2 and KITTI datasets. Pixelpiece3
Detailed analysis of how bypassing latent-space compression removes "flying pixels" at depth discontinuities. 3. Quantitative and Qualitative Evaluation How high-level semantic cues guide the diffusion process
Moving diffusion to the pixel space represents a significant leap in the fidelity of generated depth maps. This has direct implications for high-resolution 3D reconstruction and augmented reality applications where depth precision is paramount. Pixelpiece3
Implementation of a Diffusion Transformer (DiT) specifically tuned for depth map synthesis.