5 papers
GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures
Patrick Noras, Jun Myeong Choi, Didier Stricker +2
GAINS is a two‑stage inverse‑rendering system that combines Gaussian splatting with foundation‑model priors (depth, normals, segmentation, diffusion) to recover accurate geometry a…
MonoPhysics: Estimating Geometry, Appearance, and Physical Parameters from Monocular Videos
Daniel Rho, Jun Myeong Choi, Matthew Thornton +2
Existing inverse physics methods recover physical parameters from multi-view videos, where geometric constraints across views resolve scale and 3D structure. In monocular settings,…
ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
Daniel Rho, Jun Myeong Choi, Biswadip Dey +1
Neural rendering has advanced significantly in 3D reconstruction and novel view synthesis, and integrating physics into these frameworks opens new applications such as physically a…
Over++: Generative Video Compositing for Layer Interaction Effects
Luchao Qi, Jiaye Wu, Jun Myeong Choi +3
In professional video compositing workflows, artists must manually create environmental interactions-such as shadows, reflections, dust, and splashes-between foreground subjects an…
PPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation
Xinqi Xiong, Andrea Dunn Beltran, Jun Myeong Choi +2
Accurate depth estimation enhances endoscopy navigation and diagnostics, but obtaining ground-truth depth in clinical settings is challenging. Synthetic datasets are often used for…