| 1 |
GS-CLIP: Gaussian Splatting for Contrastive Language-Image-3D Pretraining from Real-World Data |
提出GS-CLIP以解决3D点云表示与2D对应关系的差距问题 |
3D gaussian splatting 3DGS gaussian splatting |
|
|
| 2 |
Neural Rendering based Urban Scene Reconstruction for Autonomous Driving |
提出多模态3D场景重建方法以解决自动驾驶中的深度估计问题 |
3D reconstruction scene reconstruction multimodal |
|
|
| 3 |
Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation |
提出隐式深伪技术以生成更真实的3D头像 |
gaussian splatting splatting NeRF |
|
|
| 4 |
Oriented-grid Encoder for 3D Implicit Representations |
提出面向网格编码器以改进3D隐式表示 |
implicit representation |
|
|
| 5 |
Hybridnet for depth estimation and semantic segmentation |
提出HybridNet以解决深度估计与语义分割的联合问题 |
depth estimation |
|
|
| 6 |
A Network for structural dense displacement based on 3D deformable mesh model and optical flow |
提出基于3D可变形网格模型和光流的网络以识别结构位移 |
optical flow |
|
|
| 7 |
Image-based Deep Learning for the time-dependent prediction of fresh concrete properties |
提出基于图像的深度学习方法以预测新鲜混凝土特性 |
optical flow |
|
|
| 8 |
SIR: Multi-view Inverse Rendering with Decomposable Shadow Under Indoor Intense Lighting |
提出SIR以解决室内强光环境下阴影分解问题 |
neural radiance field |
✅ |
|