M3GD: Multi-Modal Multi-View Geometric Diffusion for Camera--LiDAR Novel View Synthesis

arXiv:2609.30056 · cs.RO, cs.CV · Submitted 2026-09-24 · Read on arXiv

cs.RO, cs.CV

Submitted: 2026-09-24

Updated: 2026-09-24

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Ablation — 16× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 16× in this paper
• Transformer — 15× in this paper · explained in 2 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Diffusion Model — 10× in this paper · explained in 8 episodes
• Foundation Model — 8× in this paper · explained in 3 episodes
• Diffusion Models — 7× in this paper · explained in 6 episodes
• Flow Matching — 7× in this paper · explained in 7 episodes
• Foundation Models — 7× in this paper · explained in 7 episodes
• Generative Model — 7× in this paper · explained in 2 episodes
• Point Clouds — 6× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Distillation — 5× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 4× in this paper
• Decode — 4× in this paper · explained in 2 episodes
• Latent Space — 4× in this paper · explained in 7 episodes
• European Conference on Computer Vision — 3× in this paper
• Fidelity — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Gaussian Splatting — 3× in this paper · explained in 4 episodes
• International Conference on Learning Representations — 3× in this paper
• Affordance — 2× in this paper · explained in 1 episode
• Classifier-Free Guidance — 2× in this paper
• Embeddings — 2× in this paper · explained in 2 episodes
• IEEE International Conference on Robotics and Automation — 2× in this paper
• International Conference on Machine Learning — 2× in this paper
• Latent Representation — 2× in this paper · explained in 2 episodes
• 3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Solvers — 1× in this paper · explained in 1 episode
• Allocator — 1× in this paper · explained in 1 episode
• Conference on Robot Learning — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 3 episodes

Sources

• UniQueR: Unified Query-based Feedforward 3D Reconstruction
• Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining
• GrandTour: A Legged Robotics Dataset in the Wild for Multi-Modal Perception and State Estimation

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