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 …

Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior
approaches build on NeRF and rely on implicit representations. This is slow since it requires …

Automatic text-to-3D generation that combines Score Distillation Sampling (SDS) with the
optimization of volume rendering has achieved remarkable progress in synthesizing realistic …

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 …

Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-
term quest. The task is especially appealing when only a few or even single RGB cameras …

Novel view synthesis of dynamic scenes has been an intriguing yet challenging problem.
Despite recent advancements simultaneously achieving high-resolution photorealistic …

Accurately and efficiently modeling dynamic scenes and motions is considered so
challenging a task due to temporal dynamics and motion complexity. To address these …

This paper targets high-fidelity and real-time view synthesis of dynamic 3D scenes at 4K
resolution. Recent methods on dynamic view synthesis have shown impressive rendering …

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

This paper presents ER-NeRF, a novel conditional Neural Radiance Fields (NeRF) based
architecture for talking portrait synthesis that can concurrently achieve fast convergence, real …