Code
Official repositories of related papers, grouped by topic. A paper appears under each of its topics.
sampling
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| Learning to Sample | CVPR 2019 2019 | orendv/learning_to_sample | TensorFlow | See the repository | Not tried |
| SampleNet: Differentiable Point Cloud Sampling | CVPR 2020 2020 | itailang/SampleNet | — | See the repository | Not tried |
| PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space | NeurIPS 2017 2017 | charlesq34/pointnet2 | TensorFlow | See the repository | Not tried |
| Attention-based Point Cloud Edge Sampling | CVPR 2023 2023 | JunweiZheng93/APES | PyTorch | Apache-2.0 | Not tried |
backbones
forest-segmentation
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds | Ecological Informatics 2024 2024 | ecker-lab/TreeLearn | PyTorch | MIT | Not tried |
| Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans | CVPR Workshops 2022 2022 | ekalinicheva/multi_layer_vegetation | PyTorch | See the repository | Not tried |
| SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data | Remote Sensing of Environment 2024 2024 | SmartForest-no/SegmentAnyTree | PyTorch | MIT | Not tried |
| ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds | ICCV 2025 2025 | SmartForest-no/ForestFormer3D | PyTorch | See the repository | Not tried |
| Toward a foundation model for forest point clouds | arXiv 2026 2026 | prs-eth/ForPT | PyTorch | MIT | Not tried |
lidar-simulation
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning | Remote Sensing of Environment 2022 2022 | 3dgeo-heidelberg/helios | C++ with Python bindings | See the repository | Not tried |
occlusion
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning | Remote Sensing of Environment 2022 2022 | 3dgeo-heidelberg/helios | C++ with Python bindings | See the repository | Not tried |
fuel-metrics
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| LadderFuelsR: A new automated tool for vertical fuel continuity analysis and crown base height detection using light detection and ranging | Methods in Ecology and Evolution 2024 2024 | olgaviedma/LadderFuelsR | R | See the repository | Not tried |
uncertainty
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | ICML 2016 2016 | yaringal/DropoutUncertaintyExps | — | See the repository | Not tried |
budgeted-inference
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| FlexTok: Resampling Images into 1D Token Sequences of Flexible Length | ICML 2025 2025 | apple-aiml-research/ml-flextok | PyTorch | See the repository | Not tried |
| Token Cropr: Faster ViTs for Quite a Few Tasks | CVPR 2025 2025 | benbergner/cropr | PyTorch | MIT | Not tried |
| EZ-SP: Fast and Lightweight Superpoint-Based 3D Segmentation | ICRA 2026 2026 | drprojects/superpoint_transformer | PyTorch | MIT | Not tried |
| BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks | ICPR 2016 2016 | kunglab/branchynet | Chainer | See the repository | Not tried |
| ElasticTok: Adaptive Tokenization for Image and Video | ICLR 2025 2025 | LargeWorldModel/ElasticTok | — | Apache-2.0 | Not tried |
agents
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models | IGARSS 2024 2024 | HaonanGuo/Remote-Sensing-ChatGPT | — | See the repository | Not tried |
| Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis | IEEE TGRS 2024 2024 | Chen-Yang-Liu/Change-Agent | PyTorch | MIT | Not tried |
| ReAct: Synergizing Reasoning and Acting in Language Models | ICLR 2023 2023 | ysymyth/ReAct | — | MIT | Not tried |
datasets
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans | CVPR Workshops 2022 2022 | ekalinicheva/multi_layer_vegetation | PyTorch | See the repository | Not tried |
other
| Paper | Venue | Repository | Framework | Licence | My status |
|---|---|---|---|---|---|
| FlexTok: Resampling Images into 1D Token Sequences of Flexible Length | ICML 2025 2025 | apple-aiml-research/ml-flextok | PyTorch | See the repository | Not tried |
| Token Cropr: Faster ViTs for Quite a Few Tasks | CVPR 2025 2025 | benbergner/cropr | PyTorch | MIT | Not tried |
| ElasticTok: Adaptive Tokenization for Image and Video | ICLR 2025 2025 | LargeWorldModel/ElasticTok | — | Apache-2.0 | Not tried |