4 papers · 1 filter
Seam360GS: Seamless 360° Gaussian Splatting from Real-World Omnidirectional Images
Changha Shin, Woong Oh Cho, Seon Joo Kim
360-degree visual content is widely shared on platforms such as YouTube and plays a central role in virtual reality, robotics, and autonomous navigation. However, consumer-grade du…
ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors
Minsu Kim, Subin Jeon, In Cho +2
Recent advances in novel view synthesis (NVS) have enabled real-time rendering with 3D Gaussian Splatting (3DGS). However, existing methods struggle with artifacts and missing regi…
Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors
Subin Jeon, In Cho, Junyoung Hong +2
Most existing 3D keypoint estimation methods rely on manual annotations or calibrated multi-view images, both of which are expensive to collect. This paper introduces KeyDiff3D, a…
Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion Models
In Cho, Youngbeom Yoo, Subin Jeon +1
Constructing a compressed latent space through a variational autoencoder (VAE) is the key for efficient 3D diffusion models. This paper introduces COD-VAE that encodes 3D shapes in…