NeRF Papers September 2023
Talk about a cool nerf paper from September 2023
Several notable papers on Neural Radiance Fields (NeRF) were published in September 2023, highlighting diverse applications and innovations in the field:
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High-fidelity 3D Reconstruction of Plants using Neural Radiance Field: This study focused on synthesizing 2D novel-view images and 3D reconstruction of crop and plant models, exploring state-of-the-art methods in the world of neural radiance fields, including Instant-NGP for generating high-quality images【7†source】.
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PERF: Panoramic Neural Radiance Field from a Single Panorama: Authored by Guangcong Wang, Peng Wang, Zhaoxi Chen, Wenping Wang, Chen Change Loy, and Ziwei Liu, this paper introduced a panoramic NeRF model generated from a single panorama, contributing significantly to the field【8†source】【16†source】.
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A Neural Radiance Field-Based Architecture for Intelligent Multilayered View Synthesis: This paper, authored by D. Dhinakaran and three other authors, explored a novel architecture using neural radiance fields for intelligent multilayered view synthesis【9†source】.
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Steganography for Neural Radiance Fields by Backdooring: This research proposed a novel model steganography scheme with implicit neural representation using NeRF and its viewpoint synthesis capabilities【10†source】.
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Animating NeRFs from Texture Space: A Framework for Pose...: This paper dealt with the challenge of creating high-quality controllable 3D human models from multi-view RGB videos using NeRFs, extending to controllable synthesis of dynamic human performances【20†source】.
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NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields: This research aimed to address the high computational complexity of NeRFs, proposing quality tuning to reduce computational complexity, essential for deployability on resource-constrained platforms【21†source】.
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Reconstructive Latent-Space Neural Radiance Fields for...: This paper investigated combining an autoencoder with a NeRF, addressing problems with slow rendering speed and visual artifacts【22†source】.
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UE4-NeRF: Neural Radiance Field for Real-Time Rendering of...: This work focused on the real-time rendering capabilities of NeRF, especially for interactive real-time rendering of large-scale scenes【23†source】.
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ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context: This paper presented a solution for interactive editing NeRFs, a growing need due to their popularity in photo-realistic object capture【24†source】.
These papers demonstrate the ongoing advancements and diverse applications of NeRF in various domains, from plant phenotyping to human performance synthesis, showing the versatility and potential of NeRF technology in different fields.