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Awesome lists about framework figures in papers
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
Open-source and strong foundation image recognition models.
[CVPR 24] MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
(TPAMI 2024) A Survey on Open Vocabulary Learning
Our OpenYOLO3D model achieves state-of-the-art performance in Open Vocabulary 3D Instance Segmentation on ScanNet200 and Replica datasets with up ∼16x speedup compared to the best existing method …
Official implementation of the paper "Unifying 3D Vision-Language Understanding via Promptable Queries"
[NeurIPS 2024] A Unified Framework for 3D Scene Understanding
Open3DIS: Open-vocabulary 3D Instance Segmentation with 2D Mask Guidance (CVPR 2024)
(CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
[ACM MM-2024] RefMask3D: Language-Guided Transformer for 3D Referring Segmentation
Disable Windows update with a lightweight batch tool.
[ECCV'24] OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Official code of "Segment any 3D Object with Language"
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
The official implementation of the CVPR'24 paper titled "XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold".
Collection of awesome parameter-efficient fine-tuning resources.
[TMLR 2024] Efficient Large Language Models: A Survey
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
[ECCV'20] Convolutional Occupancy Networks
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction