3 accepted papers
Generating animatable and editable 3D head avatars is essential for various applications in computer vision and graphics. Traditional 3D-aware generative adversarial networks (GANs), often using implicit fields like Neural Radiance Fields (NeRF), achieve photo-realistic and view-consistent 3D head s…
Scene Graph Generation (SGG) aims to identify entities and predict the relationship triplets <subject predicate object> in visual scenes. Given the prevalence of large visual variations of subject-object pairs even in the same predicate it can be quite challenging to model and refine predicate repre…
"Recent advancements in multi-modal pre-training for 3D point clouds have demonstrated promising results by aligning heterogeneous features across 3D shapes and their corresponding 2D images and language descriptions. However, current straightforward solutions often overlook intricate structural rel…