Existing 3D mesh shape evaluation metrics mainly focus on the overall shape but are
usually less sensitive to local details. This makes them inconsistent with human evaluation …

Scene reconstructions are often incomplete due to occlusions and limited viewpoints. There
have been efforts to use semantic information for scene completion. However, the completed …

In this paper, we are interested in Detection Transformer (DETR), an end-to-end object
detection approach based on a transformer encoder-decoder architecture without hand …

Abstract We revisit Semantic Scene Completion (SSC), a useful task to predict the semantic
and occupancy representation of 3D scenes, in this paper. A number of methods for this task …

This paper investigates the potential of enhancing Neural Radiance Fields (NeRF) with
semantics to expand their applications. Although NeRF has been proven useful in real-world …

This paper proposes a shape anchor guided learning strategy (AncLearn) for robust holistic
indoor scene understanding. We observe that the search space constructed by current …

With the popularity of automatic code generation tools, such as Copilot, the study of the
potential hazards of these tools is gaining importance. In this work, we explore the social …

Abstract Extensions of Neural Radiance Fields (NeRFs) to model dynamic scenes have
enabled their near photo-realistic free-viewpoint rendering. Although these methods have …

We propose an end-to-end trainable, cross-category method for reconstructing multiple man-
made articulated objects from a single RGBD image, focusing on part-level shape …

Instance shape reconstruction from a 3D scene involves recovering the full geometries of
multiple objects at the semantic instance level. Many methods leverage data-driven learning …