activity
20132026
most citedMVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

167 citations · 348 across the 37 of their papers we have counts for

collaborators

42 papers

cs.CV2026

PPCAR-Net: Projection-Refined Parametric 3D Coronary Artery Reconstruction from Sparse X-ray Angiographic Views

Yu Ren, Hwee Kuan Lee, Tat-Jen Cham +2

Sparse-view 3D coronary reconstruction commonly relies on cross-view correspondence and triangulation, which are vulnerable to vessel overlap and foreshortening, or on volumetric p…

cs.CV2026

Dynamic Time Step Prediction in Inverse Heat Dissipation for Blur-Like Image Restoration Tasks

Cap Dang Xuan Kiet, Tat-Jen Cham

When using diffusion models to target image restoration problems, diffusion inversion is typically employed to retain relevant image information from the degraded images. Instead o…

cs.CV2026

Learning from Failure: Leveraging Unreliable Predictions in Semi-Supervised Real-World Adverse Weather Removal

Cap Dang Xuan Kiet, Tat-Jen Cham

Adverse weather image restoration aims to recover images degraded by rain, haze, snow, and other weather-induced artifacts, thereby improving the robustness of outdoor vision syste…

cs.LG2026

SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning

Si Qi Goh, Cap Dang Xuan Kiet, Tat-Jen Cham +1

The ability of vision-language models (VLMs) to associate visual identities with biographical information creates a need for selective unlearning of personally identifiable informa…

cs.CV2026

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective

Weijie Wang, Qihang Cao, Sensen Gao +10

Reconstructing 3D representations from 2D inputs is a fundamental task in computer vision and graphics, serving as a cornerstone for understanding and interacting with the physical…

cs.CV2026

SPATIALALIGN: Aligning Dynamic Spatial Relationships in Video Generation

Fengming Liu, Tat-Jen Cham, Chuanxia Zheng

Most text-to-video (T2V) generators prioritize aesthetic quality, but often ignoring the spatial constraints in the generated videos. In this work, we present SPATIALALIGN, a self-…