Neural Point Cloud Diffusion For

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation - CVPR 2024

Neural Point Cloud Diffusion for

[MICCAI 2023] Point Cloud Diffusion Models for Automatic Implant Generation (5-min video)

Video explaining the MICCAI2023 paper "

[CVPR 2026] Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation

Thanks to the invitation from @ComputerVisionFoundation, this is the presentation video of our work at CVPR 2026.

Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks

This video provides a short overview of our recent paper "Vote3Deep: Fast Object Detection in 3D

Point-Cloud Signal Processing with Graph Neural Networks

Point

Lecture 18 - Efficient Point Cloud Recognition | MIT 6.S965

Lecture 18 introduces the basics of

Going Deeper With Lean Point Networks

Authors: Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra Description: In this work we introduce Lean

[220513] A Conditional Point Diffusion Refinement Paradigm for 3D Point Cloud Completion - 심재혁

UNIST Core AI Labs Seminar Official site: https://sites.google.com/view/core-ai-labs/

PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors

Authors: Kim, Jaeyeon*; Hua, Binh-Son; Nguyen, Thanh; Yeung, Sai-Kit Description: In this paper, we propose a new method for ...

[SGP-2022] Deep Learning on Point Clouds

Point cloud

3D Computer Vision | 3D Point Cloud Processing

This is an add-on lecture to the CS4277/CS5477 - 3D Computer Vision course at the School of Computing at NUS. These are the ...

Understanding and Processing Point Clouds | Deep Learning for 3D Object Detection, Part 1

Lidar, which stands for “light detection and ranging,” is a pivotal tool in modern robotics and computer vision applications, ...

Deep learning for 3D point clouds by Dr Min Wang - UNSW.ai Workshop

UNSW.ai Workshop - Imaging, Sensing and Data Informatics with AI Title: Deep learning for 3D

Elevate Your Point Cloud Game with State-of-The-Art Depth Neural Networks in Open3D and OpenCV

Inside my school and program, I teach you my system to become an AI engineer or freelancer. Life-time access, personal help by ...

7. How DiffFacto works on controllable point cloud generation

This video is part of the deep learning video series on

PointNet for Point Cloud Classification: How to Train and Predict with Keras and TensorFlow