1 citations · 2 across the 4 of their papers we have counts for
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ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation
Simon Boeder, Fabian Gigengack, Simon Roesler +2
Recent progress in self- and weakly supervised occupancy estimation has largely relied on 2D projection or rendering-based supervision, which suffers from geometric inconsistencies…
GaussianFlowOcc: Sparse and Weakly Supervised Occupancy Estimation using Gaussian Splatting and Temporal Flow
Simon Boeder, Fabian Gigengack, Benjamin Risse
Occupancy estimation has become a prominent task in 3D computer vision, particularly within the autonomous driving community. In this paper, we present a novel approach to occupanc…
LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering
Simon Boeder, Fabian Gigengack, Benjamin Risse
The 3D occupancy estimation task has become an important challenge in the area of vision-based autonomous driving recently. However, most existing camera-based methods rely on cost…
OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow
Simon Boeder, Fabian Gigengack, Benjamin Risse
Semantic occupancy has recently gained significant traction as a prominent 3D scene representation. However, most existing methods rely on large and costly datasets with fine-grain…