More Point Cloud Examples

Every example for both comparisons below — pick one from each dropdown to switch scenes. This page is separate from the main project page so the front page loads instantly.

1 Source - 1 Target Point Cloud Comparison

Example:

Source Image source

GT

Target Image target

VGGT-DD

VGGT

VGGT-Z3D

WM

WM-DD

WM-Z3D

From the visualizations above, we observe that point clouds obtained by projecting the depth-diffusion baselines' predicted depth maps (WM-DD and VGGT-DD) are considerably noisier, with scattered, uneven surfaces. Their Z3D counterparts, by contrast, produce smooth, coherent point clouds.

Drag to rotate — all point clouds stay in sync. Pick an example above to switch scenes.

Multi-Targets (2 Source views, 4 target views) Point Cloud Visualization

Example:

Source Views

Source View 1

Source View 2

Target Views (4 target viewpoints)

Target View 1

Target View 2

Target View 3

Target View 4

Combined Point Clouds (all target views fused)

GT

VGGT-Z3D

WM-Z3D

From the visualizations above, we observe that point clouds obtained by projecting Z3D's predicted depth maps are smooth and coherent.

Drag to rotate — all three point clouds stay in sync. Pick an example above to switch scenes.