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20182023
most citedNeuLF: Efficient Novel View Synthesis with Neural 4D Light Field

20 citations · 45 across the 13 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 7 cited

Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis

Zhan Li, Zhang Chen, Zhong Li +1

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

cs.CV2023

Relit-NeuLF: Efficient Relighting and Novel View Synthesis via Neural 4D Light Field

Zhong Li, Liangchen Song, Zhang Chen +4

In this paper, we address the problem of simultaneous relighting and novel view synthesis of a complex scene from multi-view images with a limited number of light sources. We propo…

cs.CV2023

NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions

Zhang Chen, Zhong Li, Liangchen Song +4

We present a novel type of neural fields that uses general radial bases for signal representation. State-of-the-art neural fields typically rely on grid-based representations for s…

cs.CV2023★ 1 cited

High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition

Tianyu Luan, Yuanhao Zhai, Jingjing Meng +4

Despite the impressive performance obtained by recent single-image hand modeling techniques, they lack the capability to capture sufficient details of the 3D hand mesh. This defici…

cs.CV2023★ 1 cited

Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting

Wentao Bao, Lele Chen, Libing Zeng +4

Hand trajectory forecasting from egocentric views is crucial for enabling a prompt understanding of human intentions when interacting with AR/VR systems. However, existing methods…

cs.CV2023★ 4 cited

Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis

Liangchen Song, Zhong Li, Xuan Gong +4

Neural Radiance Fields (NeRF) have led to breakthroughs in the novel view synthesis problem. Positional Encoding (P.E.) is a critical factor that brings the impressive performance…