EPS3D is an end-to-end architecture for 3D panoptic segmentation from multi-view images that uses distillation and semantic-instance mutual enhancement to achieve higher benchmark performance and speed than prior methods.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SAD-GS proposes dynamic geo-semantic anchoring via SAD and GSFL to learn reliable 3D semantic Gaussian fields, reporting best performance on LERF-OVS, 3D-OVS, and Mip-NeRF360 for open-vocabulary localization and segmentation.
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EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation
EPS3D is an end-to-end architecture for 3D panoptic segmentation from multi-view images that uses distillation and semantic-instance mutual enhancement to achieve higher benchmark performance and speed than prior methods.
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SAD-GS: Learning Reliable 3D Semantic Gaussian Fields via Dynamic Geo-Semantic Anchoring
SAD-GS proposes dynamic geo-semantic anchoring via SAD and GSFL to learn reliable 3D semantic Gaussian fields, reporting best performance on LERF-OVS, 3D-OVS, and Mip-NeRF360 for open-vocabulary localization and segmentation.