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Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering
We introduce a highly efficient method for panoptic segmentation of large 3D point clouds by redefining this task as a scalable graph clustering problem. This approach can be trained using only local auxiliary tasks, thereby eliminating the...
OPDMulti: Openable Part Detection for Multiple Objects
Openable part detection is the task of detecting the openable parts of an object in a single-view image and predicting corresponding motion parameters. Prior work investigated the unrealistic setting where all input images only contain a si...
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding
The field of self-supervised $3 D$ representation learning has emerged as a promising solution to alleviate the challenge presented by the scarcity of extensive, well-annotated datasets. However, it continues to be hindered by the lack of d...
DeDoDe: Detect, Don’t Describe — Describe, Don’t Detect for Local Feature Matching
Keypoint detection is a pivotal step in 3D reconstruction, whereby sets of (up to) K points are detected in each view of a scene. Crucially, the detected points need to be consistent between views, i.e., correspond to the same 3D point in t...
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting
Reconstructing an object from photos and placing it virtually in a new environment goes beyond the standard novel view synthesis task as the appearance of the object has to not only adapt to the novel viewpoint but also to the new lighting ...
Multi-Body Neural Scene Flow
The test-time optimization of scene flow—using a coordinate network as a neural prior [27]—has gained popularity due to its simplicity, lack of dataset bias, and state-of-the-art performance. We observe, however, that although coordinate ...
GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping
Recent neural, physics-based modeling of garment deformations allows faster and visually aesthetic results as opposed to the existing methods. Material-specific parameters are used by the formulation to control the garment inextensibility. ...
RelPose++: Recovering 6D Poses from Sparse-view Observations
We address the task of estimating 6D camera poses from sparse-view image sets (2-8 images). This task is a vital pre-processing stage for nearly all contemporary (neural) reconstruction algorithms but remains challenging given sparse views,...
Relative Pose for Nonrigid Multi-Perspective Cameras: The Static Case
Multi-perspective cameras with potentially nonoverlapping fields of view have become an important exteroceptive sensing modality in a number of applications such as intelligent vehicles, drones, and mixed reality headsets. In this work, we ...