3D Inpainting

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (21 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning
  23 Apr 2025 1 repository listed
  This paper extends 3DGS capabilities to inpainting, where masked objects in a scene are replaced with new contents that blend seamlessly with the surroundings.
• 3D Shape Completion using Multi-Resolution Spectral Encoding
  1 Mar 2025 1 repository listed
  These attention maps are leveraged differently in pretraining and in the later training and inference stages of our approach to produce the reconstructed 3D shape.
• PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
  7 Dec 2023 1 repository listed Syntology ran 14 of 17 samples · 3 unverified · 17 pointer-only (licence)
  We present PrimDiffusion, the first diffusion-based framework for 3D human generation.
• IDDR-NGP: Incorporating Detectors for Distractors Removal with Instant Neural Radiance Field
  27 Oct 2023 1 repository listed
  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.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.