Papers 3D Object Editing
“3D Object Editing” 태그가 달린 논문 12편 · 필터 해제
EditVerse3D: High-Quality 3D Object Editing with Region-Aware Learning
Local editing of 3D objects remains a long-standing challenge. When interacting with 3D content, humans naturally tend to specify a coarse region of interest for modification rather than defining precise editing boundari…
3D Object EditingSVGS: Single-View to 3D Object Editing via Gaussian Splatting
Text-driven 3D scene editing has attracted considerable interest due to its convenience and user-friendliness. However, methods that rely on implicit 3D representations, such as Neural Radiance Fields (NeRF), while effec…
3D Object Editing3D scene EditingMuses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training
We present Muses, the first training-free method for fantastic 3D creature generation in a feed-forward paradigm. Previous methods, which rely on part-aware optimization, manual assembly, or 2D image generation, often pr…
3D Object EditingImage GenerationNANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks
3D object editing is essential for interactive content creation in gaming, animation, and robotics, yet current approaches remain inefficient, inconsistent, and often fail to preserve unedited regions. Most methods rely …
3D Object EditingManipulating Vehicle 3D Shapes through Latent Space Editing
Although 3D object editing has the potential to significantly influence various industries, recent research in 3D generation and editing has primarily focused on converting text and images into 3D models, often overlooki…
3D Generation3D Object EditingAttributeSIn-NeRF2NeRF: Editing 3D Scenes with Instructions through Segmentation and Inpainting
TL;DR Perform 3D object editing selectively by disentangling it from the background scene. Instruct-NeRF2NeRF (in2n) is a promising method that enables editing of 3D scenes composed of Neural Radiance Field (NeRF) using …
3D Object EditingNeRFObjectSemantic SegmentationChat-Edit-3D: Interactive 3D Scene Editing via Text Prompts
Recent work on image content manipulation based on vision-language pre-training models has been effectively extended to text-driven 3D scene editing. However, existing schemes for 3D scene editing still exhibit certain s…
3D Object Editing3D Reconstruction3D scene Editing3D Shape Reconstruction From A Single 2D Image+2DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation
User-friendly 3D object editing is a challenging task that has attracted significant attention recently. The limitations of direct 3D object editing without 2D prior knowledge have prompted increased attention towards ut…
3D Object EditingNeRFObjectGSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting
We present GSEdit, a pipeline for text-guided 3D object editing based on Gaussian Splatting models. Our method enables the editing of the style and appearance of 3D objects without altering their main details, all in a m…
3D Object EditingNeRFObjectDirectional Texture Editing for 3D Models
Texture editing is a crucial task in 3D modeling that allows users to automatically manipulate the surface materials of 3D models. However, the inherent complexity of 3D models and the ambiguous text description lead to …
3D Object EditingVox-E: Text-guided Voxel Editing of 3D Objects
Large scale text-guided diffusion models have garnered significant attention due to their ability to synthesize diverse images that convey complex visual concepts. This generative power has more recently been leveraged t…
3D Object EditingText to 3DUnsupervised Multi-View Object Segmentation Using Radiance Field Propagation
We present radiance field propagation (RFP), a novel approach to segmenting objects in 3D during reconstruction given only unlabeled multi-view images of a scene. RFP is derived from emerging neural radiance field-based …
3D Object EditingNeRFObjectScene Segmentation+2