4 accepted papers
"Despite the recent progress in text-to-video generation, existing studies usually overlook the issue that only spatial contents but not temporal motions in synthesized videos are under the control of text. Towards such a challenge, this work presents a practical system, named , which allows users t…
"Recent advances in text-to-image model customization have underscored the importance of integrating new concepts with a few examples. Yet, these progresses are largely confined to widely recognized subjects, which can be learned with relative ease through models’ adequate shared prior knowledge. In…
"In this work, we introduce OpenIns3D, a new 3D-input-only framework for 3D open-vocabulary scene understanding. The OpenIns3D framework employs a “Mask-Snap-Lookup” scheme. The “Mask” module learns class-agnostic mask proposals in 3D point clouds, the “Snap” module generates synthetic scene-level i…
"3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis results and advancing real-time rendering performance. However, the effectiveness of 3DGS heavily relies on the quality of the initial point cloud, as poor initialization can result in blurring and needle-like artifacts.…