6 papers
Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer
Dong In Lee, Hyungjun Doh, Seunggeun Chi +3
Recent progress in 4D representations, such as Dynamic NeRF and 4D Gaussian Splatting (4DGS), has enabled dynamic 4D scene reconstruction. However, text-driven 4D scene editing rem…
Occlusion-Aware Temporally Consistent Amodal Completion for 3D Human-Object Interaction Reconstruction
Hyungjun Doh, Dong In Lee, Seunggeun Chi +4
We introduce a novel framework for reconstructing dynamic human-object interactions from monocular video that overcomes challenges associated with occlusions and temporal inconsist…
Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting
Seunggeun Chi, Enna Sachdeva, Pin-Hao Huang +1
Amodal completion, which is the process of inferring the full appearance of objects despite partial occlusions, is crucial for understanding complex human-object interactions (HOI)…
CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image
Wonseok Roh, Hwanhee Jung, Jong Wook Kim +6
Recently, generalizable feed-forward methods based on 3D Gaussian Splatting have gained significant attention for their potential to reconstruct 3D scenes using finite resources. T…
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data
Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva +3
We study the problem of estimating the body movements of a camera wearer from egocentric videos. Current methods for ego-body pose estimation rely on temporally dense sensor data,…
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
Seunggeun Chi, Hyung-gun Chi, Hengbo Ma +4
We introduce the Multi-Motion Discrete Diffusion Models (M2D2M), a novel approach for human motion generation from textual descriptions of multiple actions, utilizing the strengths…