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DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling
Official Implementation of paper "Disentangled Clothed Avatar Generation from Text Descriptions"
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
[MICCAI 2024] On-the-Fly Guidance Training for Medical Image Registration. Pre-print available in link below.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
A collection of papers on diffusion models for 3D generation.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
[NeurIPS 2023] The repo of CommonScenes, a scene generation method powered by the diffusion model.
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
High-Resolution Image Synthesis with Latent Diffusion Models
The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)
CVPR2023-Occupancy-Prediction-Challenge
Official implementation of paper "Pyramid Diffusion for Fine 3D Large Scene Generation" (ECCV 2024 Oral)
Official implementation of paper "Deep Hierarchical Learning for 3D Segmentation"
My curriculum vitae (CV) written using LaTeX.
Official Implementation of paper "A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence"
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
[CVPR 2024] DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
The official implementation for "Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data"
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Official Code for DragGAN (SIGGRAPH 2023)
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
[CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation