Datasets:

KlingTeam
/

CameraClone-Dataset

@@ -20,7 +20,7 @@ The Camera Clone Dataset is rendered using Unreal Engine 5. We collect 40 3D sce
 To construct the triple set, camera trajectories must satisfy two key requirements: 1) *Simultaneous Multi-View Capture*: Multiple cameras must film the same scene concurrently, each following a distinct trajectory. 2) *Paired Trajectories*: paired shots with the same camera trajectories across different locations. Our implementation strategy addresses these needs as follows: Within any single location, 10 synchronized cameras operate simultaneously, each following one of ten unique, pre-defined trajectories to capture diverse views. To create paired trajectories, we group 3D locations in scenes into sets of four, ensuring that the same ten camera trajectories are replicated across all locations within each set. The camera trajectories themselves are automatically generated using designed rules. These rules encompass various types, including basic movements, circular arcs, and more complex camera paths.
-In total, Camera Clone Dataset comprises 391K visually authentic videos shooting from 39.1K different locations in 40 scenes with 97.75K diverse camera trajectories, and 1,155K triple video sets are constructed based on these videos. Each video has a resolution of 576 x 1,008 and 154 frames.
 **3D Environment:** We collect 40 high-quality 3D environments assets from [Fab](https://www.fab.com). To minimize the domain gap between rendered data and real-world videos, we primarily select visually realistic 3D scenes, while choosing a few stylized or surreal 3D scenes as a supplement. To ensure data diversity, the selected scenes cover a variety of indoor and outdoor settings, such as city streets, shopping malls, cafes, office rooms, and the countryside.

 To construct the triple set, camera trajectories must satisfy two key requirements: 1) *Simultaneous Multi-View Capture*: Multiple cameras must film the same scene concurrently, each following a distinct trajectory. 2) *Paired Trajectories*: paired shots with the same camera trajectories across different locations. Our implementation strategy addresses these needs as follows: Within any single location, 10 synchronized cameras operate simultaneously, each following one of ten unique, pre-defined trajectories to capture diverse views. To create paired trajectories, we group 3D locations in scenes into sets of four, ensuring that the same ten camera trajectories are replicated across all locations within each set. The camera trajectories themselves are automatically generated using designed rules. These rules encompass various types, including basic movements, circular arcs, and more complex camera paths.
+In total, Camera Clone Dataset comprises 391K visually authentic videos shooting from 39.1K different locations in 40 scenes with 97.75K diverse camera trajectories, and 1,155K triple video sets are constructed based on these videos. Each video has a resolution of 576 x 1,008 and 77 frames.
 **3D Environment:** We collect 40 high-quality 3D environments assets from [Fab](https://www.fab.com). To minimize the domain gap between rendered data and real-world videos, we primarily select visually realistic 3D scenes, while choosing a few stylized or surreal 3D scenes as a supplement. To ensure data diversity, the selected scenes cover a variety of indoor and outdoor settings, such as city streets, shopping malls, cafes, office rooms, and the countryside.