The first component, , stands for a volumetric video data format, often associated with depth-sensing cameras and photogrammetry pipelines. Unlike a standard video file (which records flat, two-dimensional patterns of light), a VVD file encodes spatial information over time. It is a sequence of point clouds, depth maps, and color textures—a three-dimensional “trace” of a performance, a person, or a space. In its raw state, VVD data is massive, noisy, and organic. It resembles reality in its purest, most overwhelming form: unstructured, redundant, and fluid. To work with VVD is to confront the messiness of the physical world—the flicker of a candle, the folds of a fabric, the subtle asymmetry of a human face.
If you need to batch convert hundreds of VVD files, the old scripts are broken. Here is the approach using an updated vvd_to_obj.py script. vvd to obj new
: Better support for standard PBR workflows in external engines. The first component, , stands for a volumetric
📌 : When exporting to OBJ, ensure you check the "Export Normals" and "Triangulate" boxes to prevent lighting issues in your destination software. In its raw state, VVD data is massive, noisy, and organic