Papers with Code 아카이브
3D scene Editing
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ScanEdit: Hierarchically-Guided Functional 3D Scan Editing
V2Edit: Versatile Video Diffusion Editor for Videos and 3D Scenes
DualNeRF: Text-Driven 3D Scene Editing via Dual-Field Representation
Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting
DragScene: Interactive 3D Scene Editing with Single-view Drag Instructions
Towards a Training Free Approach for 3D Scene Editing
EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting
Diffusion-Based Attention Warping for Consistent 3D Scene Editing
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting
CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion
Neural Surface Priors for Editable Gaussian Splatting
GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing
Analyzing Multimodal Interaction Strategies for LLM-Assisted Manipulation of 3D Scenes
GS-VTON: Controllable 3D Virtual Try-on with Gaussian Splatting
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
3D Gaussian Editing with A Single Image
Geometric Algebra Meets Large Language Models: Instruction-Based Transformations of Separate Meshes in 3D, Interactive and Controllable Scenes
Localized Gaussian Splatting Editing with Contextual Awareness
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts
TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Splatting Manipulation
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing
GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting
ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts
Exploration and Improvement of Nerf-based 3D Scene Editing Techniques
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
Free-Editor: Zero-shot Text-driven 3D Scene Editing
LatentEditor: Text Driven Local Editing of 3D Scenes
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality
GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions
Neural Implicit Field Editing Considering Object-environment Interaction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.