716 citations · 2.9k across the 81 of their papers we have counts for
92 papers
Learning Incompressible 3D Flows from Sparse Samples: A Set Transformer Approach to Divergence-Free Kernel Fitting
Ramzi Idoughi, Radouan Boukharfane, Peter Wonka
Recovering divergence-free velocity fields from sparse and corrupted observations requires reconciling physical consistency, expressive representations, and robustness to missing d…
PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
Chuhao Chen, Peter Wonka, Chaoyang Wang +4
Interactive control for video generation is moving from coarse prompts toward fine-grained, physically meaningful manipulation of dynamic scenes. Yet existing controllable methods…
PFGS: Pose-Fused 3D Gaussian Splatting for Complete Multi-Pose Object Reconstruction
Ting-Yu Yen, Yu-Sheng Chiu, Shih-Hsuan Hung +2
Recent advances in 3D Gaussian Splatting (3DGS) have enabled high-quality, real-time novel-view synthesis from multi-view images. However, most existing methods assume the object i…
No Mesh, No Problem: Estimating Coral Volume and Surface from Sparse Multi-View Images
Diego Eustachio Farchione, Ramzi Idoughi, Peter Wonka
Effective reef monitoring requires the quantification of coral growth via accurate volumetric and surface area estimates, which is a challenging task due to the complex morphology…
E-Net: Efficient E(3)-Equivariant Normal Estimation Network
Hanxiao Wang, Mingyang Zhao, Weize Quan +3
Point cloud normal estimation is a fundamental task in 3D geometry processing. While recent learning-based methods achieve notable advancements in normal prediction, they often ove…
Deep Learning-based Image and Video Inpainting: A Survey
Weize Quan, Jiaxi Chen, Yanli Liu +2
Image and video inpainting is a classic problem in computer vision and computer graphics, aiming to fill in the plausible and realistic content in the missing areas of images and v…