Dataset Groups Activity Stream Noisy LLFF Synthetic The dataset used in the paper is a large-scale paired dataset for training a NeRF-agnostic restorer. It consists of 8 virtual scenes, each with 400 images. BibTex: @dataset{Kun_Zhou_and_Wenbo_Li_and_Nianjuan_Jiang_and_Xiaoguang_Han_and_Jiangbo_Lu_2024, abstract = {The dataset used in the paper is a large-scale paired dataset for training a NeRF-agnostic restorer. It consists of 8 virtual scenes, each with 400 images.}, author = {Kun Zhou and Wenbo Li and Nianjuan Jiang and Xiaoguang Han and Jiangbo Lu}, doi = {10.57702/yipws2pq}, institution = {No Organization}, keyword = {'Image Synthesis', 'NeRF', 'Neural Radiance Fields'}, month = {dec}, publisher = {TIB}, title = {Noisy LLFF Synthetic}, url = {https://service.tib.eu/ldmservice/dataset/noisy-llff-synthetic}, year = {2024} }
