LT3SD: Latent Trees for 3D Scene Diffusion
3:13
LT3SD: Latent Trees for 3D Scene Diffusion
21 күн бұрын
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
3:45
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
7 ай бұрын
FutureHuman3D: Forecasting Complex Long-Term3D Human Behavior from Video Observations
3:57
FutureHuman3D: Forecasting Complex Long-Term3D Human Behavior from Video Observations
7 ай бұрын
DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Image
2:50
DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Image
10 ай бұрын
GenZI: Zero-Shot 3D Human-Scene Interaction Generation
2:58
GenZI: Zero-Shot 3D Human-Scene Interaction Generation
10 ай бұрын
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
3:19
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
10 ай бұрын
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes (ICCV'23 Oral)
3:02
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes (ICCV'23 Oral)
Жыл бұрын
Mesh2Tex: Generating Mesh Textures from Image Queries (ICCV'23)
3:00
Mesh2Tex: Generating Mesh Textures from Image Queries (ICCV'23)
Жыл бұрын
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans (CVPR'23)
4:07
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans (CVPR'23)
Жыл бұрын
PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories
3:33
PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories
Жыл бұрын
Language-Grounded Indoor 3D Semantic Segmentation in the Wild (ECCV'22)
3:07
Language-Grounded Indoor 3D Semantic Segmentation in the Wild (ECCV'22)
2 жыл бұрын
SPAMS: Structured Implicit Parametric Models (CVPR'22)
3:03
SPAMS: Structured Implicit Parametric Models (CVPR'22)
2 жыл бұрын
Neural Parametric Models for 3D Deformable Shapes (ICCV'21)
4:35
Neural Parametric Models for 3D Deformable Shapes (ICCV'21)
3 жыл бұрын
Towards Part-Based Understanding of RGB-D Scans (CVPR'21)
2:22
Towards Part-Based Understanding of RGB-D Scans (CVPR'21)
3 жыл бұрын
Пікірлер
@rakshithsajjan6445
@rakshithsajjan6445 23 күн бұрын
Awesome! will you guys be releasing the code and the model weights?
@xucangc
@xucangc 3 ай бұрын
Do you have any plans for open code?
@parkie0517
@parkie0517 4 ай бұрын
Hello, I recently used ScanNet200 to perform sem seg. Thank you for such wonderful work! However I have a question. When trained with ScanNet200 the mIoU drops by a large margin compared to ScanNet. is this mainly because of the number of classes?
@alejandrodiazfierro8301
@alejandrodiazfierro8301 6 ай бұрын
Excelent Work.
@faruknane
@faruknane 7 ай бұрын
Great work!
@rollintrollope156
@rollintrollope156 9 ай бұрын
*PromoSM* 🌈
@lion87563
@lion87563 10 ай бұрын
Thanks for such a nice work!
@小吉-y2j
@小吉-y2j 10 ай бұрын
demo or access?
@dibbidydoo4318
@dibbidydoo4318 Жыл бұрын
Is there a github page for the code?
@NegarNejatishahidyan
@NegarNejatishahidyan Жыл бұрын
I am wondering if the initial scans represented in object coordinate space? (specially for the real-data) I am interested to understand if you have used ground-truth poses to bring them into object coordinate space.
@晓东武
@晓东武 2 жыл бұрын
Hi, thanks for the excellent workshop. Is there any way to download the slides?
@geneg6898
@geneg6898 3 жыл бұрын
Hello! Enjoyed the video. Have you ever thought of using promosm to promote your videos?