Papers Surface Reconstruction
“Surface Reconstruction” 태그가 달린 논문 624편 · 필터 해제
A Mixed-Primitive-based Gaussian Splatting Method for Surface Reconstruction
Recently, Gaussian Splatting (GS) has received a lot of attention in surface reconstruction. However, while 3D objects can be of complex and diverse shapes in the real world, existing GS-based methods only limitedly use …
Representation LearningSurface ReconstructionHigh-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes
Generalizable neural surface reconstruction has become a compelling technique to reconstruct from few images without per-scene optimization, where dense 3D feature volume has proven effective as a global representation o…
Surface ReconstructionLoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving
Generating consistent multi-view images from a single image remains challenging. Lack of spatial consistency often degrades 3D mesh quality in surface reconstruction. To address this, we propose LoomNet, a novel multi-vi…
Image GenerationSurface ReconstructionHiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity
Neural surface reconstruction faces persistent challenges in reconciling geometric fidelity with photometric consistency under complex scene conditions. We present HiNeuS, a unified framework that holistically addresses …
Inverse RenderingNeural RenderingSurface ReconstructionSOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction
Recent advances in 3D Gaussian representations have significantly improved the quality and efficiency of image-based scene reconstruction. Their explicit nature facilitates real-time rendering and fast optimization, yet …
Surface Reconstruction3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene
Recent developments in 3D Gaussian Splatting have made significant advances in surface reconstruction. However, scaling these methods to large-scale scenes remains challenging due to high computational demands and the co…
Autonomous DrivingNeRFSurface ReconstructionWavelet-based Global Orientation and Surface Reconstruction for Point Clouds
Unoriented surface reconstruction is an important task in computer graphics and has extensive applications. Based on the compact support of wavelet and orthogonality properties, classic wavelet surface reconstruction ach…
CPUSurface ReconstructionHRGS: Hierarchical Gaussian Splatting for Memory-Efficient High-Resolution 3D Reconstruction
3D Gaussian Splatting (3DGS) has made significant strides in real-time 3D scene reconstruction, but faces memory scalability issues in high-resolution scenarios. To address this, we propose Hierarchical Gaussian Splattin…
3DGS3D Reconstruction3D Scene ReconstructionNovel View Synthesis+1Anti-Aliased 2D Gaussian Splatting
2D Gaussian Splatting (2DGS) has recently emerged as a promising method for novel view synthesis and surface reconstruction, offering better view-consistency and geometric accuracy than volumetric 3DGS. However, 2DGS suf…
3DGSNovel View SynthesisSurface ReconstructionA Probability-guided Sampler for Neural Implicit Surface Rendering
Several variants of Neural Radiance Fields (NeRFs) have significantly improved the accuracy of synthesized images and surface reconstruction of 3D scenes/objects. In all of these methods, a key characteristic is that non…
Surface ReconstructionSurfR: Surface Reconstruction with Multi-scale Attention
We propose a fast and accurate surface reconstruction algorithm for unorganized point clouds using an implicit representation. Recent learning methods are either single-object representations with small neural models tha…
Surface ReconstructionSAR2Struct: Extracting 3D Semantic Structural Representation of Aircraft Targets from Single-View SAR Image
To translate synthetic aperture radar (SAR) image into interpretable forms for human understanding is the ultimate goal of SAR advanced information retrieval. Existing methods mainly focus on 3D surface reconstruction or…
Information RetrievalSurface ReconstructionMulti-view Surface Reconstruction Using Normal and Reflectance Cues
Achieving high-fidelity 3D surface reconstruction while preserving fine details remains challenging, especially in the presence of materials with complex reflectance properties and without a dense-view setup. In this pap…
Surface ReconstructionVolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
Accurate food volume estimation is crucial for dietary monitoring, medical nutrition management, and food intake analysis. Existing 3D Food Volume estimation methods accurately compute the food volume but lack for food p…
ManagementNutritionSurface ReconstructionUNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
We propose UNSURF, a novel uncertainty measure for cortical surface reconstruction of clinical brain MRI scans of any orientation, resolution, and contrast. It relies on the discrepancy between predicted voxel-wise signe…
Surface ReconstructionUncertainty QuantificationA Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization
Orienting point clouds is a fundamental problem in computer graphics and 3D vision, with applications in reconstruction, segmentation, and analysis. While significant progress has been made, existing approaches mainly fo…
global-optimizationSurface Reconstruction4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
We propose the first 4D tracking and mapping method that jointly performs camera localization and non-rigid surface reconstruction via differentiable rendering. Our approach captures 4D scenes from an online stream of co…
Camera LocalizationCamera Pose EstimationPose EstimationSurface ReconstructionSparse2DGS: Sparse-View Surface Reconstruction using 2D Gaussian Splatting with Dense Point Cloud
Gaussian Splatting (GS) has gained attention as a fast and effective method for novel view synthesis. It has also been applied to 3D reconstruction using multi-view images and can achieve fast and accurate 3D reconstruct…
3D ReconstructionNovel View SynthesisSurface ReconstructionStochastic Preconditioning for Neural Field Optimization
Neural fields are a highly effective representation across visual computing. This work observes that fitting these fields is greatly improved by incorporating spatial stochasticity during training, and that this simple t…
Surface ReconstructionUltraBoneUDF: Self-supervised Bone Surface Reconstruction from Ultrasound Based on Neural Unsigned Distance Functions
Background: Bone surface reconstruction plays a critical role in computer-assisted orthopedic surgery. Compared to traditional imaging modalities such as CT and MRI, ultrasound offers a radiation-free, cost-effective, an…
Surface Reconstruction