LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows
Scales context windows for object-centric 3D reconstruction using sparse attention. Coarse-to-fine prediction, geometry-aware routing, and sequence parallelism focus computation on informative regions for geometry and appearance recovery.
Overview
Scales context windows for object-centric 3D reconstruction using sparse attention. Coarse-to-fine prediction, geometry-aware routing, and sequence parallelism focus computation on informative regions for geometry and appearance recovery.
Scales context windows for object-centric 3D reconstruction using sparse attention. Coarse-to-fine prediction, geometry-aware routing, and sequence parallelism focus computation on informative regions for geometry and appearance recovery.
When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.
Scales context windows for object-centric 3D reconstruction using sparse attention. Coarse-to-fine prediction, geometry-aware routing, and sequence parallelism focus computation on informative regions for geometry and appearance recovery.
Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.
References
ID: eccv-2026-lsrm · Last verified:
