The dataset contains 36 NeRF-generated videos captured from four different indoor and outdoor environments: S1 for outdoor, S2 for auditorium, S3 for classroom, and S4 for lounge entrance. Each scene is trained using three NeRF models: Nerfacto as M1, Instant-NGP as M2, and Volinga as M3. Finally, each trained scene is rendered on three customized trajectories referred to as P1, P2, and P3.

There are a total of 36 videos (4 scenes × 3 models × 3 paths) each having its own individual name. For example, video S1M1P1 corresponds to the outdoor scene (S1), which is trained on the Nerfacto model (M1), and rendered on the first camera path (P1).

Nerfstudio API, 1.1.0