Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
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Abstract (arXiv)
We present GDFusion, a temporal fusion method for vision-based 3D semantic occupancy prediction (VisionOcc). GDFusion opens up the underexplored aspects of temporal fusion within the VisionOcc framework, focusing on both temporal cues and fusion strategies. It systematically examines the entire VisionOcc pipeline, identifying three fundamental yet previously overlooked temporal cues: scene-level consistency, motion calibration, and geometric complementation. These cues capture diverse facets of temporal evolution and make distinct contributions across various modules in the VisionOcc framework. To effectively fuse temporal signals across heterogeneous representations, we propose a novel fusion strategy by reinterpreting the formulation of vanilla RNNs. This reinterpretation leverages gradient descent on features to unify the integration of diverse temporal information, seamlessly embedding the proposed temporal cues into the network. Extensive experiments on nuScenes demonstrate that GDFusion significantly outperforms established baselines. Notably, on Occ3D benchmark, it achieves 1.4%-4.8% mIoU improvements and reduces memory consumption by 27%-72%.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 66 of its 75 references that are in the map. First posted on arXiv 17 Apr 2025.
Builds on
66 of 75 references.
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38 more
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50 most cited of 66 All 66 (JSON)
Built on by
Citing papers per year: 2025: 2; 2026: 7.
9 papers.
- 2025Semantic Causality-Aware Vision-Based 3D Occupancy Predictioncited by 8
- 2025OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspectivecited by 5
- 2026The Semantic Lifecycle in Embodied AI: Acquisition, Representation and Storage via Foundation Modelscited by 2
- 2026SuperOcc: Toward Cohesive Temporal Modeling for Superquadric-based 3D Occupancy Predictioncited by 1
- 2026PolarVSR: A Unified Framework and Benchmark for Continuous Space-Time Polarization Video Reconstructioncited by 1
- 2026SGR-OCC: Evolving Monocular Priors for Embodied 3D Occupancy Prediction via Soft-Gating Lifting and Semantic-Adaptive Geometric Refinementcited by 0
- 2026Height-Guided Projection Reparameterization for Camera-LiDAR Occupancycited by 0
- 2026FDR-Occ: Factorized Dense Routing for Full-Spectrum 3D Occupancy Predictioncited by 0
- 2026RoadOcc Learns When to Persist, Transport, or Refresh Memory for Roadside Occupancy Predictioncited by 0
- 2026RoadOcc Learns When to Persist, Transport, or Refresh Memory for Roadside Occupancy Prediction23 Sep 2026
- 2026FDR-Occ: Factorized Dense Routing for Full-Spectrum 3D Occupancy Prediction4 Jul 2026
- 2026PolarVSR: A Unified Framework and Benchmark for Continuous Space-Time Polarization Video Reconstruction11 May 2026
- 2026Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy6 May 2026
- 2026SGR-OCC: Evolving Monocular Priors for Embodied 3D Occupancy Prediction via Soft-Gating Lifting and Semantic-Adaptive Geometric Refinement14 Mar 2026
- 2026SuperOcc: Toward Cohesive Temporal Modeling for Superquadric-based 3D Occupancy Prediction22 Jan 2026
- 2026The Semantic Lifecycle in Embodied AI: Acquisition, Representation and Storage via Foundation Models12 Jan 2026
- 2025OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective23 Dec 2025
- 2025Semantic Causality-Aware Vision-Based 3D Occupancy Prediction10 Sep 2025