3260 papers • 126 benchmarks • 313 datasets
3D Inpainting is the removal of unwanted objects from a 3D scene, such that the replaced region is visually plausible and consistent with its context.
(Image credit: Papersgraph)
These leaderboards are used to track progress in 3d-inpainting-5
No benchmarks available.
Use these libraries to find 3d-inpainting-5 models and implementations
No datasets available.
No subtasks available.
The PrimDiffusion framework has three appealing properties: 1) compact and expressive parameter space for the diffusion model, 2) flexible 3D representation that incorporates human prior, and 3) decoder-free rendering for efficient novel-view and novel-pose synthesis.
Adding a benchmark result helps the community track progress.