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 …

Novel view synthesis for dynamic scenes is still a challenging problem in computer vision
and graphics. Recently Gaussian splatting has emerged as a robust technique to represent …

Realistic object interactions are crucial for creating immersive virtual experiences, yet
synthesizing realistic 3D object dynamics in response to novel interactions remains a …

Reconstructing dynamic objects from monocular videos is a severely underconstrained and
challenging problem and recent work has approached it in various directions. However …

Radiance fields have demonstrated impressive performance in synthesizing lifelike 3D
talking heads. However, due to the difficulty in fitting steep appearance changes, the …

We show that physics-based simulations can be seamlessly integrated with NeRF to
generate high-quality elastodynamics of real-world objects. Unlike existing methods we …

3D Gaussian splatting (3D GS) has recently emerged as a transformative technique in the
explicit radiance field and computer graphics landscape. This innovative approach …

We consider the problem of novel-view synthesis (NVS) for dynamic scenes. Recent neural
approaches have accomplished exceptional NVS results for static 3D scenes, but …

In this paper we propose a 3D geometry-aware deformable Gaussian Splatting method for
dynamic view synthesis. Existing neural radiance fields (NeRF) based solutions learn the …

We introduce FlowIBR, a novel approach for efficient monocular novel view synthesis of
dynamic scenes. Existing techniques already show impressive rendering quality but tend to …