| 1 |
Robust and High-Fidelity 3D Gaussian Splatting: Fusing Pose Priors and Geometry Constraints for Texture-Deficient Outdoor Scenes |
针对纹理缺失的室外场景,提出融合位姿先验和几何约束的鲁棒高保真3D高斯溅射方法 |
3D gaussian splatting 3DGS gaussian splatting |
✅ |
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| 2 |
YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting |
YoNoSplat:仅需单模型的前馈3D高斯溅射重建,适用于各种相机内外参场景 |
3D gaussian splatting gaussian splatting scene reconstruction |
✅ |
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| 3 |
Sparse4DGS: 4D Gaussian Splatting for Sparse-Frame Dynamic Scene Reconstruction |
Sparse4DGS:提出纹理感知正则化与优化,解决稀疏帧动态场景的4D高斯重建问题。 |
gaussian splatting NeRF scene reconstruction |
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| 4 |
GFix: Perceptually Enhanced Gaussian Splatting Video Compression |
GFix:提出感知增强的高斯溅射视频压缩方法,提升视觉质量和压缩率。 |
3D gaussian splatting 3DGS gaussian splatting |
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| 5 |
Rethinking Rainy 3D Scene Reconstruction via Perspective Transforming and Brightness Tuning |
提出REVR-GSNet以解决雨天3D场景重建问题 |
3D gaussian splatting gaussian splatting scene reconstruction |
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| 6 |
MUGSQA: Novel Multi-Uncertainty-Based Gaussian Splatting Quality Assessment Method, Dataset, and Benchmarks |
提出MUGSQA数据集与评测方法,用于评估高斯溅射重建三维物体的感知质量。 |
gaussian splatting point cloud |
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| 7 |
ConeGS: Error-Guided Densification Using Pixel Cones for Improved Reconstruction with Fewer Primitives |
ConeGS:利用像素锥误差引导稠密化,以更少图元实现更优重建 |
3D gaussian splatting 3DGS gaussian splatting |
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| 8 |
DIAL-GS: Dynamic Instance Aware Reconstruction for Label-free Street Scenes with 4D Gaussian Splatting |
DIAL-GS:用于无标签街景的动态实例感知4D高斯溅射重建 |
gaussian splatting scene reconstruction |
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| 9 |
FlowFeat: Pixel-Dense Embedding of Motion Profiles |
提出FlowFeat,通过运动轮廓嵌入实现像素级密集图像表征,提升多种视觉任务性能。 |
depth estimation monocular depth optical flow |
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| 10 |
LiveNeRF: Efficient Face Replacement Through Neural Radiance Fields Integration |
LiveNeRF:通过神经辐射场集成实现高效人脸替换 |
neural radiance |
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| 11 |
RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion |
提出RaLD,利用潜在扩散模型从雷达频谱生成高分辨率3D点云。 |
point cloud |
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| 12 |
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition |
提出3D-ANC,利用神经崩溃机制提升3D点云识别的鲁棒性,对抗恶意攻击。 |
point cloud |
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| 13 |
Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain |
FreqCert:提出频域认证框架,提升3D点云识别对L2范数扰动的鲁棒性 |
point cloud |
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| 14 |
PanoNav: Mapless Zero-Shot Object Navigation with Panoramic Scene Parsing and Dynamic Memory |
PanoNav:基于全景场景解析与动态记忆的无地图零样本物体导航 |
navigation |
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| 15 |
PointCubeNet: 3D Part-level Reasoning with 3x3x3 Point Cloud Blocks |
PointCubeNet:提出一种基于3x3x3点云块的无监督3D部件级推理框架 |
point cloud |
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| 16 |
Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images |
Omni-View:提出基于多视角图像的统一3D模型,探索生成促进理解的原理。 |
novel view synthesis scene understanding |
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| 17 |
LeCoT: revisiting network architecture for two-view correspondence pruning |
LeCoT:通过空间-通道融合Transformer改进双视图对应关系剪枝 |
pose estimation localization |
✅ |
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| 18 |
4DSTR: Advancing Generative 4D Gaussians with Spatial-Temporal Rectification for High-Quality and Consistent 4D Generation |
提出4DSTR网络,通过时空校正生成高质量、时序一致的4D高斯模型。 |
gaussian splatting |
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| 19 |
Geometric implicit neural representations for signed distance functions |
提出几何隐式神经表示,用于有向距离函数的表面重建 |
point cloud |
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| 20 |
Mono3DVG-EnSD: Enhanced Spatial-aware and Dimension-decoupled Text Encoding for Monocular 3D Visual Grounding |
提出Mono3DVG-EnSD框架,增强单目3D视觉定位中空间感知和维度解耦的文本编码。 |
localization |
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| 21 |
Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders |
提出AS-DiffMPM,解决复杂碰撞体下基于视频的物理属性辨识难题 |
novel view synthesis |
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| 22 |
UniADC: A Unified Framework for Anomaly Detection and Classification |
提出UniADC,统一异常检测与分类框架,解决信息孤岛问题。 |
localization |
✅ |
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