Papers 3D scene Editing
“3D scene Editing” 태그가 달린 논문 71편 · 필터 해제
Chat-Edit-3D++: Interactive 3D and 4D Scene Editing via Large Language Models
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 have certain shor…
3D Reconstruction3D scene EditingGaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization
Selecting a complete 3D object from a reconstructed scene with minimal user effort is essential for practical scene editing and embodied interaction. Existing 3DGS-based methods either retrain the Gaussian representation…
3D scene EditingLook Before You Edit: Attention-Guided Camera Placement and Multi-View Alignment for 3D Gaussian Splatting Editing
Text-driven 3D scene editing with 3D Gaussian Splatting (3DGS) typically applies a 2D diffusion editor to views rendered from fixed training cameras, limiting both the spatial coverage of edits and the user's freedom to …
3D scene Editing3D-GIMP: When 3D Gaussian Inpainting Meets PatchMatch
Recent advances in 3D scene editing have leveraged iterative diffusion models to update input views. However, this process is computationally expensive and struggles to produce sharp details. Meanwhile, ``hallucination d…
3D Reconstruction3D scene EditingPatch MatchingJointEdit3D: Feed-Forward 3D Scene Editing in a Unified Latent Space
Existing 3D scene editing methods typically rely on per-scene optimization over explicit 3D representations or cascaded edit-and-reconstruct pipelines, resulting in high test-time cost, limited 3D awareness, and structur…
3D scene EditingWorld Tracing: Generative Pixel-Aligned Geometry Beyond the Visible
Image-to-3D methods often trade off faithfulness and completeness: depth estimators are anchored to input pixels but stop at the visible surface, while image-to-3D models generate complete shapes that are often misaligne…
3D scene EditingEPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation
This paper introduces EPS3D, a new end-to-end feed-forward framework for open-vocabulary 3D panoptic segmentation. Unlike existing methods relying on additional preprocessing, we design an end-to-end architecture, with a…
Panoptic SegmentationScene Understanding3D scene EditingNative3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment
This paper presents Native3D, the first end-to-end 3D scene generation framework that completely bypasses 2D intermediate representations. Traditional approaches typically require adapting 3D representations to the 2D do…
Contrastive LearningDomain AdaptationScene Generation3D scene EditingTASE: Truncation-Aware Semantic Embeddings for 3D Scene Understanding and Editing
High-fidelity semantic 3D scene representations are crucial for numerous applications, including robotics, autonomous driving, and simulation. Beyond this, the ability to edit such representations enables developers to a…
Scene UnderstandingAutonomous Driving3D scene EditingRobust Prior-Guided Segmentation for Editable 3D Gaussian Splatting
3D Gaussian Splatting (3D-GS) enables real-time 3D scene reconstruction but lacks robust segmentation for editing tasks such as object removal, extraction, and recoloring. Existing approaches that lift 2D segmentations t…
3D scene EditingVGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction
High-quality 3D scene reconstruction has recently advanced toward generalizable feed-forward architectures, enabling the generation of complex environments in a single forward pass. However, despite their strong performa…
3D scene EditingFluSplat: Sparse-View 3D Editing without Test-Time Optimization
Recent advances in text-guided image editing and 3D Gaussian Splatting (3DGS) have enabled high-quality 3D scene manipulation. However, existing pipelines rely on iterative edit-and-fit optimization at test time, alterna…
3D Reconstruction3D scene EditingImage EditingView-Consistent 3D Scene Editing via Dual-Path Structural Correspondense and Semantic Continuity
Text-driven 3D scene editing has recently attracted increasing attention. Most existing methods follow a render-edit-optimize pipeline, where multi-view images are rendered from a 3D scene, edited with 2D image editors, …
3D scene EditingTRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking
We present TRACE, a mesh-guided 3DGS editing framework that achieves automated, high-fidelity scene transformation. By anchoring video diffusion with explicit 3D geometry, TRACE uniquely enables fine-grained, part-level …
3D scene 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 EditingCatalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation
Recent advances in 3D scene editing using NeRF and 3DGS enable high-quality static scene editing. In contrast, dynamic scene editing remains challenging, as methods that directly extend 2D diffusion models to 4D often pr…
3D scene EditingEdit3r: Instant 3D Scene Editing from Sparse Unposed Images
We present Edit3r, a feed-forward framework that reconstructs and edits 3D scenes in a single pass from unposed, view-inconsistent, instruction-edited images. Unlike prior methods requiring per-scene optimization, Edit3r…
3D scene EditingPose EstimationDreamcrafter: Immersive Editing of 3D Radiance Fields Through Flexible, Generative Inputs and Outputs
Authoring 3D scenes is a central task for spatial computing applications. Competing visions for lowering existing barriers are (1) focus on immersive, direct manipulation of 3D content or (2) leverage AI techniques that …
3D scene EditingG$^2$VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning
Vision-Language Models (VLMs) still lack robustness in spatial intelligence, demonstrating poor performance on spatial understanding and reasoning tasks. We attribute this gap to the absence of a visual geometry learning…
Spatial Reasoning3D Reconstruction3D scene EditingError-Driven Scene Editing for 3D Grounding in Large Language Models
Despite recent progress in 3D-LLMs, they remain limited in accurately grounding language to visual and spatial elements in 3D environments. This limitation stems in part from training data that focuses on language reason…
Scene Understanding3D scene Editing