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paper 114 autonomous-driving 92 foundation-model 55 transformer 53 vla 49 planning 42 robotics 41 computer-vision 36 perception 32 ilya-30 29 multimodal 29 nlp 26 end-to-end 24 language-modeling 24 llm 17 reasoning 17 imitation-learning 16 3d-occupancy 15 vlm 15 bev 14 diffusion 13 e2e 12 reinforcement-learning 12 world-model 12 chain-of-thought 10 benchmark 9 scaling 9 cross-embodiment 7 driving 6 gaussian-splatting 6 generative-models 6 image-classification 6 information-theory 6 questions 6 self-supervised 6 sources 6 alignment 5 attention 5 cnn 5 foundation 5 knowledge-distillation 5 language-model 5 prediction 5 simulation 5 evaluation 4 image-generation 4 instruction-tuning 4 mixture-of-experts 4 rnn 4 sequence-to-sequence 4 sparse-representation 4 video-prediction 4 explainability 3 flow-matching 3 lstm 3 map 3 occupancy 3 open-source 3 semantic-segmentation 3 sequence-modeling 3 trajectory-prediction 3 vectorized-representation 3 3d-detection 2 3d-perception 2 3d-reconstruction 2 action-representation 2 autonomy 2 autoregressive 2 bimanual 2 closed-loop 2 complexity-theory 2 dataset 2 deployment 2 distributed-training 2 efficient-inference 2 embodied 2 fine-tuning 2 foundation-models 2 foundational 2 gaussian-representation 2 generation 2 generative 2 human-interaction 2 humanoid 2 manipulation 2 memory-augmented-networks 2 ml 2 multi-camera 2 multilingual 2 object-detection 2 parameter-efficient-fine-tuning 2 prompting 2 real-time 2 regularization 2 relational-reasoning 2 residual-networks 2 rlhf 2 scaling-laws 2 segmentation 2 self-improvement 2 self-supervised-learning 2 state-space 2 systems 2 thermodynamics 2 vision-language-model 2 vision-transformer 2 visual-question-answering 2 zero-shot 2 3d 1 3d-scene 1 3d-semantic-occupancy 1 agenda 1 agentic 1 agi 1 algorithmic-information-theory 1 algorithmic-randomness 1 asynchronous 1 attention-mechanism 1 batch 1 bayesian-inference 1 behavior-forecasting 1 camera-fusion 1 classifier-guidance 1 combinatorial-optimization 1 comparison 1 compression 1 computability 1 concept 1 contrastive-learning 1 control 1 convolutional-neural-networks 1 corpus 1 course 1 data-collection 1 decoupled 1 deep-learning 1 denoising 1 depth-estimation 1 dexterous-manipulation 1 differentiable-programming 1 diffusion-policy 1 diffusion-transformer 1 dilated-convolutions 1 dropout 1 efficient 1 embodied-ai 1 embodiment 1 emergent-abilities 1 end-to-end-learning 1 evaluation-metric 1 few-shot 1 few-shot-learning 1 foundations 1 frontend 1 gaussian 1 gaussian-rendering 1 generalist-agent 1 generalization 1 gpu-training 1 graph-neural-networks 1 grounding 1 grpo 1 hierarchical 1 high-frequency-control 1 hosting 1 ilya 1 image-captioning 1 image-text-retrieval 1 in-context-learning 1 inductive-bias 1 intelligence-measurement 1 interactive-annotation 1 interactive-segmentation 1 knowledge-preservation 1 kolmogorov-complexity 1 lanegcn 1 locomotion 1 machine-translation 1 mamba 1 mdl 1 message-passing 1 minimum-description-length 1 model-parallelism 1 model-predictive-control 1 model-selection 1 modular 1 molecular-property-prediction 1 multi-embodiment 1 multi-task 1 natural-language 1 neural-radiance-fields 1 neuro-symbolic 1 obsidian 1 open-world 1 optimization 1 orchestration 1 parallel-architecture 1 parameter-efficient 1 permutation-invariance 1 personalization 1 physical-ai 1 pipeline-parallelism 1 pointer-mechanism 1 privileged-supervision 1 probabilistic-planning 1 proprioception 1 quantization 1 queue 1 radar 1 recurrent-neural-networks 1 representation-learning 1 scene-understanding 1 search 1 seminal 1 sensor-fusion 1 set-modeling 1 siamese-networks 1 simulator 1 source 1 sparse-models 1 spatial-reasoning 1 speech-recognition 1 survey 1 synthesis 1 taxonomy 1 temporal 1 temporal-modeling 1 thesis 1 tokenization 1 tool-use 1 training 1 uniad 1 unified-stack 1 vanishing-gradients 1 variational-autoencoders 1 video-generation 1 video-understanding 1 visual-traces 1 vit 1

Pages tagged 3d-occupancy

Drive-OccWorld: Driving in the Occupancy World
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📄 **[Read on arXiv](https://arxiv.org/abs/2408.14197)** Drive-OccWorld introduces a vision-centric 4D occupancy forecasting world model that directly integrates with end-to-end planning. The core premise is that current…
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin
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📄 **[Read on arXiv](https://arxiv.org/abs/2311.12058)** Occupancy prediction has emerged as a powerful perception paradigm for autonomous driving, predicting per-voxel semantic labels in 3D space to handle arbitrary obj…
GaussianFlowOcc: Sparse and Weakly Supervised Occupancy Estimation using Gaussian Splatting and Temporal Flow
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:page_facing_up: **[Read on arXiv](https://arxiv.org/abs/2502.17288)** GaussianFlowOcc (ICCV 2025) introduces a transformative approach to 3D semantic occupancy estimation for autonomous driving by replacing traditional…
Gaussianformer Scene As Gaussians For Vision Based 3D Semantic Occupancy Prediction
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📄 **[Read on arXiv](https://arxiv.org/abs/2405.17429)** GaussianFormer introduces a fundamentally different scene representation for 3D semantic occupancy prediction: instead of dense voxel grids, scenes are modeled as…
GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction
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**[Read on arXiv](https://arxiv.org/abs/2412.04384)** GaussianFormer-2 addresses 3D semantic occupancy prediction for vision-centric autonomous driving by rethinking how 3D Gaussians represent occupied space. The origin…
GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting
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:page_facing_up: **[Read on arXiv](https://arxiv.org/abs/2408.11447)** GaussianOcc by Gan et al. (University of Tokyo / RIKEN / South China University of Technology / SIAT-CAS) is a systematic method that applies Gaussi…
Gaussianworld Gaussian World Model For Streaming 3D Occupancy Prediction
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📄 **[Read on arXiv](https://arxiv.org/abs/2412.10373)** GaussianWorld introduces a world model paradigm for 3D occupancy prediction that explicitly models scene evolution over time, rather than treating frames as indepe…
GaussRender: Learning 3D Occupancy with Gaussian Rendering
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:page_facing_up: **[Read on arXiv](https://arxiv.org/abs/2502.05040)** GaussRender by Chambon et al. (Valeo AI / Sorbonne, ICCV 2025) introduces a plug-and-play training-time module that improves 3D occupancy prediction…
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding
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**[Read on arXiv](https://arxiv.org/abs/2412.13193)** GaussTR is a Gaussian-based Transformer framework that achieves zero-shot semantic occupancy prediction without any 3D annotations. The key idea is to combine sparse…
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving
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📄 **[Read on arXiv](https://arxiv.org/abs/2404.15014)** OccGen reframes 3D semantic occupancy prediction as a conditional generative problem rather than a purely discriminative one. Prior occupancy methods (SurroundOcc,…
OccMamba: Semantic Occupancy Prediction with State Space Models
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**[Read on arXiv](https://arxiv.org/abs/2408.09859)** OccMamba is the first Mamba-based network for semantic occupancy prediction, replacing transformer architectures' quadratic complexity with Mamba's linear complexity…
Occworld Learning A 3D Occupancy World Model For Autonomous Driving
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📄 **[Read on arXiv](https://arxiv.org/abs/2311.16038)** OccWorld introduces a generative world model that operates in 3D semantic occupancy space, jointly forecasting future scene evolution and ego vehicle trajectories.…
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
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📄 **[Read on arXiv](https://arxiv.org/abs/2311.12754)** SelfOcc (Huang et al., Tsinghua University, CVPR 2024) introduces the first self-supervised framework for vision-based 3D occupancy prediction that works with mult…
SparseOcc: Fully Sparse 3D Occupancy Prediction
paper

📄 **[Read on arXiv](https://arxiv.org/abs/2312.17118)** 3D occupancy prediction has become a critical perception paradigm for autonomous driving, but existing methods process dense 3D volumes even though over 90% of vox…
SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction
paper

📄 **[Read on arXiv](https://arxiv.org/abs/2404.09502)** Dense 3D occupancy prediction from multi-view cameras has become a key perception task for autonomous driving, but most methods process the full voxel volume -- in…