3D scene Editing

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (46 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.

• DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation
  16 Jul 2024 2 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 10 pointer-only (licence)
  Score distillation sampling (SDS) has emerged as an effective framework in text-driven 3D editing tasks, leveraging diffusion models for 3D-consistent editing.
• Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
  6 Dec 2023 2 repositories listed Syntology ran 12 of 24 samples · 12 unverified · 1 pointer-only (licence)
  In this work, we go one step further: in addition to radiance field rendering, we enable 3D Gaussian splatting on arbitrary-dimension semantic features via 2D foundation model distillation.
• WeatherEdit: Controllable Weather Editing with 4D Gaussian Field
  26 May 2025 1 repository listed
  To construct the weather particles, we first reconstruct a 3D scene using the edited images and then introduce a dynamic 4D Gaussian field to generate snowflakes, raindrops and fog in the scene.
• Neural Surface Priors for Editable Gaussian Splatting
  27 Nov 2024 1 repository listed
  Unlike other methods, our pipeline allows modifications applied to the extracted mesh to be propagated to the proxy representation, from which we recover the updated parameters of the Gaussians.
• Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts
  9 Jul 2024 1 repository listed
  Recent work on image content manipulation based on vision-language pre-training models has been effectively extended to text-driven 3D scene editing.
• GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting
  13 May 2024 1 repository listed
  The increasing prominence of e-commerce has underscored the importance of Virtual Try-On (VTON).
• Free-Editor: Zero-shot Text-driven 3D Scene Editing
  21 Dec 2023 1 repository listed
  Text-to-Image (T2I) diffusion models have recently gained traction for their versatility and user-friendliness in 2D content generation and editing.
• LatentEditor: Text Driven Local Editing of 3D Scenes
  14 Dec 2023 1 repository listed
  Our approach achieves faster editing speeds and superior output quality compared to existing 3D editing models, bridging the gap between textual instructions and high-quality 3D scene editing in latent space.
• DreamEditor: Text-Driven 3D Scene Editing with Neural Fields
  23 Jun 2023 1 repository listed
  Neural fields have achieved impressive advancements in view synthesis and scene reconstruction.
• OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
  17 May 2023 1 repository listed
  This paper proposes a novel object-removing pipeline, named OR-NeRF, that can remove objects from 3D scenes with user-given points or text prompts on a single view, achieving better performance in less time than…

Syntology lines on 2 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.