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This document presents a novel hardware accelerator for Neural Radiance Fields (NeRF) using Xilinx UltraScale and UltraScale+ FPGAs, aimed at reducing costs and power consumption compared to traditional GPU implementations. The proposed design achieves significant performance improvements, running at 300MHz and offering an average of 1.60× performance enhancement over NVIDIA GTX 1080 Ti while consuming 5.21× less energy per image. The architecture includes components like Feature Reader, Multilayer Perceptr
- Author
- Anubhab Saha
- Language
- EN