3D Inpainting
2 papers with code • 0 benchmarks • 0 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.
Benchmarks
These leaderboards are used to track progress in 3D Inpainting
Most implemented papers
IDDR-NGP: Incorporating Detectors for Distractors Removal with Instant Neural Radiance Field
NeRF-Factory/IDDR-NGP
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ACM Multimedia 2023
To validate the effectiveness and robustness of IDDR-NGP, we provide a wide range of distractors with corresponding annotated labels added to both realistic and synthetic scenes.
PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
frozenburning/primdiffusion
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NeurIPS 2023
We present PrimDiffusion, the first diffusion-based framework for 3D human generation.
