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20212026
most citedRecursive-NeRF: An Efficient and Dynamically Growing NeRF

3 citations · 6 across the 3 of their papers we have counts for

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cs.CV2026

PASTEL: Panoramic Alignment for Monocular 4D Scene Reconstruction

Yuankun Yang, Yi Wei, Bo Bai +2

Reconstructing 4D scenes from casually captured monocular video is vital for applications in virtual reality (VR) and embodied AI. Recent advances in 4D reconstruction and novel vi…

cs.CV2026

Unified Panoramic-Gaussian Representation for Monocular 4D Scene Synthesis

Yuankun Yang, Yi Wei, Wenyang Zhou +1

4D scene synthesis from monocular videos has made significant progress in recent years. However, existing methods are typically constrained by view interpolation. As a result, they…

cs.CV2023★ 3 cited

EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation

Wenyang Zhou, Zhiyang Dou, Zeyu Cao +7

We introduce Efficient Motion Diffusion Model (EMDM) for fast and high-quality human motion generation. Current state-of-the-art generative diffusion models have produced impressiv…

cs.CV2023

LC-NeRF: Local Controllable Face Generation in Neural Randiance Field

Wenyang Zhou, Lu Yuan, Shuyu Chen +2

3D face generation has achieved high visual quality and 3D consistency thanks to the development of neural radiance fields (NeRF). Recently, to generate and edit 3D faces with NeRF…

cs.CV2021★ 3 cited

Recursive-NeRF: An Efficient and Dynamically Growing NeRF

Guo-Wei Yang, Wen-Yang Zhou, Hao-Yang Peng +3

View synthesis methods using implicit continuous shape representations learned from a set of images, such as the Neural Radiance Field (NeRF) method, have gained increasing attenti…