| 14 |
GeoHCC: Local Geometry-Aware Hierarchical Context Compression for 3D Gaussian Splatting |
GeoHCC:提出局部几何感知的分层上下文压缩方法,用于高效3D高斯溅射。 |
3D gaussian splatting 3DGS gaussian splatting |
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| 15 |
SVGS: Single-View to 3D Object Editing via Gaussian Splatting |
提出SVGS,利用高斯溅射实现单视角文本驱动的3D物体编辑。 |
3D gaussian splatting 3DGS gaussian splatting |
✅ |
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| 16 |
Physically Inspired Gaussian Splatting for HDR Novel View Synthesis |
提出PhysHDR-GS,通过物理启发的高斯溅射实现HDR新视角合成,显著提升细节重建效果。 |
gaussian splatting splatting |
✅ |
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| 17 |
RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing |
RehearsalNeRF:解耦动态光照下的本征神经场以实现场景编辑 |
neural radiance field optical flow geometric consistency |
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| 18 |
FlowIt: Global Matching for Optical Flow with Confidence-Guided Refinement |
FlowIt:一种置信度引导的全局匹配光流估计方法,提升大位移场景鲁棒性。 |
optical flow |
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| 19 |
AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifiers |
AffordMatcher:利用视觉线索在3D场景中进行可供性学习 |
affordance |
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| 20 |
Industrial3D: A Terrestrial LiDAR Point Cloud Dataset and CrossParadigm Benchmark for Industrial Infrastructure |
提出Industrial3D数据集,用于工业基础设施点云语义理解与跨范式基准测试。 |
scene understanding foundation model |
✅ |
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| 21 |
DiffAttn: Diffusion-Based Drivers' Visual Attention Prediction with LLM-Enhanced Semantic Reasoning |
DiffAttn:基于扩散模型和LLM增强语义推理的驾驶员视觉注意力预测 |
scene understanding large language model |
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| 22 |
Explaining CLIP Zero-shot Predictions Through Concepts |
EZPC:通过概念解释CLIP的零样本预测,提升模型可解释性 |
open-vocabulary open vocabulary |
✅ |
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| 23 |
\textit{4DSurf}: High-Fidelity Dynamic Scene Surface Reconstruction |
提出4DSurf,通过高斯变形诱导的SDF流正则化实现高保真动态场景表面重建。 |
gaussian splatting splatting |
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| 24 |
SegRGB-X: General RGB-X Semantic Segmentation Model |
提出SegRGB-X通用语义分割框架,统一多模态数据分割并达到SOTA |
scene understanding |
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| 25 |
ForestSim: A Synthetic Benchmark for Intelligent Vehicle Perception in Unstructured Forest Environments |
ForestSim:为智能车辆在非结构化森林环境中感知提供合成基准数据集 |
scene understanding |
✅ |
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