Generative models have shown great promise in synthesizing photorealistic 3D objects, but
they require large amounts of training data. We introduce SinGRAF, a 3D-aware generative …

We present ShaDDR, an example-based deep generative neural network which produces a
high-resolution textured 3D shape through geometry detailization and conditional texture …

We target a 3D generative model for general natural scenes that are typically unique and
intricate. Lacking the necessary volumes of training data, along with the difficulties of having …

What is a rose, visually? A rose comprises its intrinsics, including the distribution of
geometry, texture, and material specific to its object category. With knowledge of these …

We present a 3D modeling method which enables end-users to refine or detailize 3D
shapes using machine learning, expanding the capabilities of AI-assisted 3D content …

Abstract The emerging Neural Radiance Field (NeRF) shows great potential in representing
3D scenes, which can render photo-realistic images from novel view with only sparse views …

With the improvement of the competitive level of table tennis, traditional training methods
have been difficult to meet the needs of precision and personalization. By introducing …

What is a scene, conceptually? It can be decomposed into multiple objects, their spatial
arrangement, and the background. While recent works have pushed the boundary on …