Representing and rendering dynamic scenes has been an important but challenging task.
Especially to accurately model complex motions high efficiency is usually hard to guarantee …

Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …

Reconstructing dynamic 3D scenes from 2D images and generating diverse views over time
is challenging due to scene complexity and temporal dynamics. Despite advancements in …

In novel view synthesis of scenes from multiple input views, 3D Gaussian splatting emerges
as a viable alternative to existing radiance field approaches, delivering great visual quality …

We propose a method for dynamic scene reconstruction using deformable 3D Gaussians
that is tailored for monocular video. Building upon the efficiency of Gaussian splatting, our …

State-of-the-art 3D models, which excel in recognition tasks, typically depend on large-scale
datasets and well-defined category sets. Recent advances in multi-modal pre-training have …

3D occupancy estimation from surrounding-view images is an exciting task in autonomous
driving, following the success of Bird's Eye View (BEV) perception. In this work, we present a …

3D object detection is a fundamental task in scene understanding. Numerous research
efforts have been dedicated to better incorporate Hough voting into the 3D object detection …

This paper targets interactive object-level editing (eg, deletion, recoloring, transformation,
composition) in dynamic scenes. Recently, some methods aiming for flexible editing static …

Neural radiance field (NeRF) has achieved great success in novel view synthesis and 3D
representation for static scenarios. Existing dynamic NeRFs usually exploit a locally dense …