The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

We introduce the task of localizing a flexible number of objects in real-world 3D scenes
using natural language descriptions. Existing 3D visual grounding tasks focus on localizing …

Generalizable 3D part segmentation is important but challenging in vision and robotics.
Training deep models via conventional supervised methods requires large-scale 3D …

We present a cascaded diffusion model based on a part-level implicit 3D representation. Our
model achieves state-of-the-art generation quality and also enables part-level shape editing …

We explore the task of zero-shot semantic segmentation of 3D shapes by using large-scale
off-the-shelf 2D im-age recognition models. Surprisingly, we find that modern zero-shot 2D …

Editing 3D geometry is a challenging task requiring specialized skills. In this work, we aim to
facilitate the task of editing the geometry of 3D models through the use of natural language …

Remarkable advances have been achieved recently in learning neural representations that
characterize object geometry, while generating textured objects suitable for downstream …

While the community of 3D point cloud generation has witnessed a big growth in recent
years, there still lacks an effective way to enable intuitive user control in the generation …

Abstract We propose Text2Scene, a method to automatically create realistic textures for
virtual scenes composed of multiple objects. Guided by a reference image and text …

The two popular datasets ScanRefer [20] and ReferIt3D [5] connect natural language to real-
world 3D scenes. In this paper, we curate a complementary dataset extending both the …