Papers › Symphonize 3D Semantic Scene Completion with Contextual Instance Queries

Symphonize 3D Semantic Scene Completion with Contextual Instance Queries

27 Jun 2023CVPR 2024 1arXiv:2306.15670archive 2025-07-28

Haoyi Jiang, Tianheng Cheng, Naiyu Gao, Haoyang Zhang, Tianwei Lin, Wenyu Liu, Xinggang Wang

`3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal undertaking in autonomous driving, aiming to predict voxel occupancy within volumetric scenes. However, prevailing methodologies primarily focus on voxel-wise feature aggregation, while neglecting instance semantics and scene context. In this paper, we present a novel paradigm termed Symphonies (Scene-from-Insts), that delves into the integration of instance queries to orchestrate 2D-to-3D reconstruction and 3D scene modeling. Leveraging our proposed Serial Instance-Propagated Attentions, Symphonies dynamically encodes instance-centric semantics, facilitating intricate interactions between image-based and volumetric domains. Simultaneously, Symphonies enables holistic scene comprehension by capturing context through the efficient fusion of instance queries, alleviating geometric ambiguity such as occlusion and perspective errors through contextual scene reasoning. Experimental results demonstrate that Symphonies achieves state-of-the-art performance on challenging benchmarks SemanticKITTI and SSCBench-KITTI-360, yielding remarkable mIoU scores of 15.04 and 18.58, respectively. These results showcase the paradigm's promising advancements. The code is available at https://github.com/hustvl/Symphonies.

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sigmoid_focal_loss hustvl/symphonies/maskdino/models/criterion.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · 5c0711aada67957e · report
batch_dice_loss hustvl/symphonies/maskdino/models/matcher.py official repository unverified MIT (permissive) · bc2cb481a75c370d · report
batch_sigmoid_ce_loss hustvl/symphonies/maskdino/models/matcher.py official repository unverified MIT (permissive) · 1edd24985036b0bf · report
dice_loss hustvl/symphonies/maskdino/models/criterion.py official repository unverified MIT (permissive) · 89f75e54ff128be0 · report
gen_encoder_output_proposals hustvl/symphonies/maskdino/models/maskdino_decoder_layers.py official repository unverified MIT (permissive) · 950e715a29a663ce · report
masks_to_boxes hustvl/symphonies/maskdino/models/misc.py official repository unverified MIT (permissive) · fcda621cea6b67e0 · report
nested_tensor_from_tensor_list hustvl/symphonies/maskdino/models/misc.py official repository unverified MIT (permissive) · 58cc9ff3bf75e753 · report
sigmoid_ce_loss hustvl/symphonies/maskdino/models/criterion.py official repository unverified MIT (permissive) · d0c61e8dba511aa3 · report

Tasks

3D Reconstruction3D Semantic Scene Completion3D Semantic Scene Completion from a single RGB imageAutonomous Driving

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Semantic Scene Completion KITTI-360 Symphonies mIoU 18.58 #1 of 7 Archive leaderboard report
3D Semantic Scene Completion SemanticKITTI Symphonies (RGB input only) mIoU 15.04 #16 of 20 Archive leaderboard report
3D Semantic Scene Completion from a single RGB image KITTI-360 Symphonies mIoU 18.58 #2 of 4 Archive leaderboard report
3D Semantic Scene Completion from a single RGB image SemanticKITTI Symphonies mIoU 15.04 #2 of 9 Archive leaderboard report

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