| 1 |
3D Gaussian Splatting as Markov Chain Monte Carlo |
提出基于MCMC的3D高斯点云渲染方法以提升质量 |
3D gaussian splatting gaussian splatting splatting |
|
|
| 2 |
DeferredGS: Decoupled and Editable Gaussian Splatting with Deferred Shading |
提出DeferredGS以解决高效渲染与编辑3D场景的问题 |
gaussian splatting splatting NeRF |
|
|
| 3 |
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation? |
提出ANYU数据集以提升单目深度估计性能 |
depth estimation monocular depth |
✅ |
|
| 4 |
CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting |
提出压缩高斯点云表示以解决3D场景数据体积过大的问题 |
gaussian splatting splatting |
|
|
| 5 |
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection |
提出VFMM3D以解决单目3D目标检测问题 |
Depth Anything foundation model |
|
|
| 6 |
Taming Latent Diffusion Model for Neural Radiance Field Inpainting |
提出潜在扩散模型以解决NeRF修复中的几何合成问题 |
3D reconstruction NeRF neural radiance field |
✅ |
|
| 7 |
LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives |
提出LiDAR辅助高斯原语框架以解决大型车库建模与渲染问题 |
3D gaussian splatting 3D reconstruction gaussian splatting |
|
|
| 8 |
ViFu: Multiple 360$^\circ$ Objects Reconstruction with Clean Background via Visible Part Fusion |
提出ViFu以解决360°物体重建与干净背景分离问题 |
neural radiance field TAMP |
|
|
| 9 |
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video |
提出Video2Game以解决高质量虚拟环境构建问题 |
NeRF neural radiance field |
|
|
| 10 |
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies |
提出kNN-CLIP以解决开放词汇分割中的灾难性遗忘问题 |
open-vocabulary open vocabulary |
|
|
| 11 |
Table tennis ball spin estimation with an event camera |
提出基于事件相机的乒乓球旋转估计方法以解决传统相机不足问题 |
optical flow |
|
|
| 12 |
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features |
提出FSRT以解决面部重演中的跨人物动态转移问题 |
optical flow |
|
|