CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering

NeurIPSSpotlight2025

Authors
Zhengqing Wang, Yuefan Wu, Jiacheng Chen, Fuyang Zhang, Yasutaka Furukawa
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

This paper proposes a neural rendering approach that represents a scene as "compressed light-field tokens (CLiFTs)", retaining rich appearance and geometric information of a scene…

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Topics

efficient geometric

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