9 accepted papers
Recent digital media advancements have created increasing demands for sophisticated portrait manipulation techniques, particularly head swapping--where one image's head is seamlessly integrated onto another's body. Current approaches predominantly rely on face-centered cropped data with limited view
Egocentric perception enables humans to experience and understand the world directly from their own point of view. Translating exocentric (third-person) videos into egocentric (first-person) videos opens up new possibilities for immersive understanding but remains highly challenging due to extreme c
The increasing demand for AR/VR applications has highlighted the need for high-quality content, such as 360° live wallpapers. However, generating high-quality 360° panoramic contents remains a challenging task due to the severe distortions introduced by equirectangular projection (ERP). Existing ap
This study focuses on the robotic capability of ungrasping, or releasing, an object in a grasp from the gripper to the robot's environment. The presented technique enables the delicate release of a grasped object using non-static contacts, allowing for rolling and/or sliding. This dexterous manipula
This study investigates the dynamic self-righting behavior of planar-based rigid objects supported at two contact points under the influence of gravity. The underlying mechanism of self-righting is elucidated through a six-dimensional curvature analysis in the configuration space. In addition, we di
Recent advancements in head avatar rendering using Gaussian primitives have achieved significantly high-fidelity results. Although precise head geometry is crucial for applications like mesh reconstruction and relighting, current methods struggle to capture intricate geometric details and render uns…
With growing demand in media and social networks for personalized images, the need for advanced head-swapping techniques--integrating an entire head from the head image with the body from the body image--has increased. However, traditional head-swapping methods heavily rely on face-centered cropped…
Despite the remarkable advancements in head reenactment, the existing methods face challenges in cross-domain head reenactment, which aims to transfer human motions to domains outside the human, including cartoon characters. It is still difficult to extract motion from out-of-domain images due to th…
"Neural rendering-based urban scene reconstruction methods commonly rely on images collected from driving vehicles with cameras facing and moving forward. Although these methods can successfully synthesize from views similar to training camera trajectory, directing the novel view outside the trainin…