5 papers
GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes
Mijeong Kim, Jungtaek Kim, Bohyung Han
We present GP-4DGS, a novel framework that integrates Gaussian Processes (GPs) into 4D Gaussian Splatting (4DGS) for principled probabilistic modeling of dynamic scenes. While exis…
PhysGaia: A Physics-Aware Benchmark with Multi-Body Interactions for Dynamic Novel View Synthesis
Mijeong Kim, Gunhee Kim, Jungyoon Choi +2
We introduce PhysGaia, a novel physics-aware benchmark for Dynamic Novel View Synthesis (DyNVS) that encompasses both structured objects and unstructured physical phenomena. While…
Pri4R: Learning World Dynamics for Vision-Language-Action Models with Privileged 4D Representation
Jisoo Kim, Jungbin Cho, Sanghyeok Chu +9
Humans learn not only how their bodies move, but also how the surrounding world responds to their actions. In contrast, while recent Vision-Language-Action (VLA) models exhibit imp…
Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs
Minji Kim, Taekyung Kim, Bohyung Han
Video Large Language Models (VideoLLMs) extend the capabilities of vision-language models to spatiotemporal inputs, enabling tasks such as video question answering (VideoQA). Despi…
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Taehoon Kim, Donghwan Jang, Bohyung Han
We present a novel training approach, named Merge-and-Bound (M&B) for Class Incremental Learning (CIL), which directly manipulates model weights in the parameter space for optimiza…