Papers 3D Object Reconstruction
“3D Object Reconstruction” 태그가 달린 논문 168편 · 필터 해제
WarpHammer: Densifying Scene Warps with 3D Object Priors for Extreme View Synthesis
Projection-conditioned novel view synthesis (NVS) warps an explicit 3D reconstruction of the input view into the target camera and conditions a generator on the warped rendering. This works well for small viewpoint chang…
3D Object ReconstructionNovel View SynthesisImage Reconstruction3D ReconstructionUnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image
Articulated 3D objects are essential for interactive environments in embodied AI, robotics, and virtual reality, but reconstructing their structure and motion from sparse observations remains challenging. Existing approa…
3D Object ReconstructionMVM-IOD: An Industrial Object-Centric Benchmark Dataset for the Evaluation of 3D Reconstruction Methods
3D object reconstruction, and camera pose estimation in industrial applications are challenging tasks, as errors are costly while the computation time is often limited. The complexity of typical industrial objects furthe…
3D Object ReconstructionCamera Pose Estimation3D ReconstructionPoint CloudsLSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows
We introduce the Large Sparse Reconstruction Model to study how scaling transformer context windows affects feed-forward 3D reconstruction. Although recent object-centric feed-forward methods produce robust, high-quality…
3D Object Reconstruction3D ReconstructionInverse RenderingLookalike3D: Seeing Double in 3D
3D object understanding and generation methods produce impressive results, yet they often overlook a pervasive source of information in real-world scenes: repeated objects. We introduce the task of lookalike object detec…
Object Detection In Indoor Scenes3D Object ReconstructionForeHOI: Feed-forward 3D Object Reconstruction from Daily Hand-Object Interaction Videos
The ubiquity of monocular videos capturing daily hand-object interactions presents a valuable resource for embodied intelligence. While 3D hand reconstruction from in-the-wild videos has seen significant progress, recons…
3D Object ReconstructionstudentSplat: Your Student Model Learns Single-view 3D Gaussian Splatting
Recent advance in feed-forward 3D Gaussian splatting has enable remarkable multi-view 3D scene reconstruction or single-view 3D object reconstruction but single-view 3D scene reconstruction remain under-explored due to i…
3D Object ReconstructionDepth EstimationSAM 3D for 3D Object Reconstruction from Remote Sensing Images
Monocular 3D building reconstruction from remote sensing imagery is essential for scalable urban modeling, yet existing methods often require task-specific architectures and intensive supervision. This paper presents the…
3D Object Reconstruction3D ReconstructionRef-SAM3D: Bridging SAM3D with Text for Reference 3D Reconstruction
SAM3D has garnered widespread attention for its strong 3D object reconstruction capabilities. However, a key limitation remains: SAM3D cannot reconstruct specific objects referred to by textual descriptions, a capability…
3D Object Reconstruction3D ReconstructionSAM 3D: 3Dfy Anything in Images
We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geometry, texture, and layout from a single image. SAM 3D excels in natural images, where occlusion and scene clutter are c…
3D Object Reconstruction3D ReconstructionMUGSQA: Novel Multi-Uncertainty-Based Gaussian Splatting Quality Assessment Method, Dataset, and Benchmarks
Gaussian Splatting (GS) has recently emerged as a promising technique for 3D object reconstruction, delivering high-quality rendering results with significantly improved reconstruction speed. As variants continue to appe…
3D Object ReconstructionReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generation
Existing multi-view 3D object reconstruction methods heavily rely on sufficient overlap between input views, where occlusions and sparse coverage in practice frequently yield severe reconstruction incompleteness. Recent …
3D Object ReconstructionNeural 3D Object Reconstruction with Small-Scale Unmanned Aerial Vehicles
Small Unmanned Aerial Vehicles (UAVs) exhibit immense potential for navigating indoor and hard-to-reach areas, yet their significant constraints in payload and autonomy have largely prevented their use for complex tasks …
3D Object Reconstruction3D ReconstructionOn the Geometric Accuracy of Implicit and Primitive-based Representations Derived from View Rendering Constraints
We present the first systematic comparison of implicit and explicit Novel View Synthesis methods for space-based 3D object reconstruction, evaluating the role of appearance embeddings. While embeddings improve photometri…
3D Object ReconstructionNovel View SynthesisCollision AvoidanceDreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation
Recent advancements in leveraging pre-trained 2D diffusion models achieve the generation of high-quality novel views from a single in-the-wild image. However, existing works face challenges in producing controllable nove…
3D Object ReconstructionNovel View SynthesisHuSc3D: Human Sculpture dataset for 3D object reconstruction
3D scene reconstruction from 2D images is one of the most important tasks in computer graphics. Unfortunately, existing datasets and benchmarks concentrate on idealized synthetic or meticulously captured realistic data. …
3D Object Reconstruction3D Reconstruction3D Scene ReconstructionBenchmarking+1Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations
Learning effective multi-modal 3D representations of objects is essential for numerous applications, such as augmented reality and robotics. Existing methods often rely on task-specific embeddings that are tailored eithe…
3D Object ReconstructionNovel View SynthesisObjectObject ReconstructionSR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping
Recent advancements in 3D robotic manipulation have improved grasping of everyday objects, but transparent and specular materials remain challenging due to depth sensing limitations. While several 3D reconstruction and d…
3D Object Reconstruction3D ReconstructionDepth CompletionObject Reconstruction+2Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Generating high-resolution 3D shapes using volumetric representations such as Signed Distance Functions (SDFs) presents substantial computational and memory challenges. We introduce Direct3D-S2, a scalable 3D generation …
3D Generation3D geometry3D Object Reconstruction3D Reconstruction+3TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians
The emergence of neural and Gaussian-based radiance field methods has led to considerable advancements in novel view synthesis and 3D object reconstruction. Nonetheless, specular reflection and refraction continue to pos…
3D Object ReconstructionInverse RenderingNovel View SynthesisObject Reconstruction+1