View-Consistent 3D Editing with Gaussian Splatting

• URL: http://arxiv.org/abs/2403.11868v8
• Date: Fri, 23 Aug 2024 07:50:18 GMT
• Title: View-Consistent 3D Editing with Gaussian Splatting
• Authors: Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang,
• Abstract summary: View-consistent Editing (VcEdit) is a novel framework that seamlessly incorporates 3DGS into image editing processes. By incorporating consistency modules into an iterative pattern, VcEdit proficiently resolves the issue of multi-view inconsistency.
• Score: 50.6460814430094
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The advent of 3D Gaussian Splatting (3DGS) has revolutionized 3D editing, offering efficient, high-fidelity rendering and enabling precise local manipulations. Currently, diffusion-based 2D editing models are harnessed to modify multi-view rendered images, which then guide the editing of 3DGS models. However, this approach faces a critical issue of multi-view inconsistency, where the guidance images exhibit significant discrepancies across views, leading to mode collapse and visual artifacts of 3DGS. To this end, we introduce View-consistent Editing (VcEdit), a novel framework that seamlessly incorporates 3DGS into image editing processes, ensuring multi-view consistency in edited guidance images and effectively mitigating mode collapse issues. VcEdit employs two innovative consistency modules: the Cross-attention Consistency Module and the Editing Consistency Module, both designed to reduce inconsistencies in edited images. By incorporating these consistency modules into an iterative pattern, VcEdit proficiently resolves the issue of multi-view inconsistency, facilitating high-quality 3DGS editing across a diverse range of scenes. Further video results are shown in http://vcedit.github.io.

Related papers

• 3DEgo: 3D Editing on the Go! [6.072473323242202]
  We introduce 3DEgo to address a novel problem of directly synthesizing 3D scenes from monocular videos guided by textual prompts. Our framework streamlines the conventional multi-stage 3D editing process into a single-stage workflow. 3DEgo demonstrates remarkable editing precision, speed, and adaptability across a variety of video sources.
  arXiv  Detail & Related papers  (2024-07-14T07:03:50Z)
• Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts [76.73043724587679]
  We propose a dialogue-based 3D scene editing approach, termed CE3D. Hash-Atlas represents 3D scene views, which transfers the editing of 3D scenes onto 2D atlas images. Results demonstrate that CE3D effectively integrates multiple visual models to achieve diverse editing visual effects.
  arXiv  Detail & Related papers  (2024-07-09T13:24:42Z)
• TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Splatting Manipulation [35.951718189386845]
  We propose a progressive 3D editing strategy that ensures multi-view consistency via a Trajectory-Anchored Scheme (TAS) TAS facilitates a tightly coupled iterative process between 2D view editing and 3D updating, preventing error accumulation yielded from text-to-image process. We present a tuning-free View-Consistent Attention Control (VCAC) module that leverages cross-view semantic and geometric reference from the source branch to yield aligned views from the target branch during the editing of 2D views.
  arXiv  Detail & Related papers  (2024-07-02T08:06:58Z)
• SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing [58.22339174221563]
  We propose SyncNoise, a novel geometry-guided multi-view consistent noise editing approach for high-fidelity 3D scene editing. SyncNoise synchronously edits multiple views with 2D diffusion models while enforcing multi-view noise predictions to be geometrically consistent. Our method achieves high-quality 3D editing results respecting the textual instructions, especially in scenes with complex textures.
  arXiv  Detail & Related papers  (2024-06-25T09:17:35Z)
• DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation [57.406031264184584]
  DragGaussian is a 3D object drag-editing framework based on 3D Gaussian Splatting. Our contributions include the introduction of a new task, the development of DragGaussian for interactive point-based 3D editing, and comprehensive validation of its effectiveness through qualitative and quantitative experiments.
  arXiv  Detail & Related papers  (2024-05-09T14:34:05Z)
• DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing [72.54566271694654]
  We consider the problem of editing 3D objects and scenes based on open-ended language instructions. A common approach to this problem is to use a 2D image generator or editor to guide the 3D editing process. This process is often inefficient due to the need for iterative updates of costly 3D representations.
  arXiv  Detail & Related papers  (2024-04-29T17:59:30Z)
• GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing [38.948892064761914]
  GaussCtrl is a text-driven method to edit a 3D scene reconstructed by the 3D Gaussian Splatting (3DGS) Our key contribution is multi-view consistent editing, which enables editing all images together instead of iteratively editing one image.
  arXiv  Detail & Related papers  (2024-03-13T17:35:28Z)
• Plasticine3D: 3D Non-Rigid Editing with Text Guidance by Multi-View Embedding Optimization [21.8454418337306]
  We propose Plasticine3D, a novel text-guided controlled 3D editing pipeline that can perform 3D non-rigid editing. Our work divides the editing process into a geometry editing stage and a texture editing stage to achieve separate control of structure and appearance. For the purpose of fine-grained control, we propose Embedding-Fusion (EF) to blend the original characteristics with the editing objectives in the embedding space.
  arXiv  Detail & Related papers  (2023-12-15T09:01:54Z)
• Editing 3D Scenes via Text Prompts without Retraining [80.57814031701744]
  DN2N is a text-driven editing method that allows for the direct acquisition of a NeRF model with universal editing capabilities. Our method employs off-the-shelf text-based editing models of 2D images to modify the 3D scene images. Our method achieves multiple editing types, including but not limited to appearance editing, weather transition, material changing, and style transfer.
  arXiv  Detail & Related papers  (2023-09-10T02:31:50Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.