5 papers · 1 filter
Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text
Jaeyeong Kim, Ines Kim, Jahyeok Koo +1
We introduce T2Mo, a feed-forward framework for controllable dynamic 3D shape generation conditioned on 3D trajectories and text. Due to the inherent ambiguity of language, generat…
MV-TAP: Tracking Any Point in Multi-View Videos
Jahyeok Koo, Inès Hyeonsu Kim, Mungyeom Kim +6
Multi-view camera systems enable rich observations of complex real-world scenes, and understanding dynamic objects in multi-view settings has become central to various applications…
Proxy-Free Gaussian Splats Deformation with Splat-Based Surface Estimation
Jaeyeong Kim, Seungwoo Yoo, Minhyuk Sung
We introduce SpLap, a proxy-free deformation method for Gaussian splats (GS) based on a Laplacian operator computed from our novel surface-aware splat graph. Existing approaches to…
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
Ka Chun Shum, Jaeyeon Kim, Binh-Son Hua +2
Neural radiance field is an emerging rendering method that generates high-quality multi-view consistent images from a neural scene representation and volume rendering. Although neu…
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen +1
In this paper, we propose a new method for mapping a 3D point cloud to the latent space of a 3D generative adversarial network. Our generative model for 3D point clouds is based on…