%0 Journal Article %1 journals/tip/HuNWW22 %A Hu, Zhongyun %A Nsampi, Ntumba Elie %A Wang, Xue %A Wang, Qing %D 2022 %J IEEE Trans. Image Process. %K dblp %P 3935-3948 %T PNRNet: Physically-Inspired Neural Rendering for Any-to-Any Relighting. %U http://dblp.uni-trier.de/db/journals/tip/tip31.html#HuNWW22 %V 31

@article{journals/tip/HuNWW22, added-at = {2022-06-28T00:00:00.000+0200}, author = {Hu, Zhongyun and Nsampi, Ntumba Elie and Wang, Xue and Wang, Qing}, biburl = {https://www.bibsonomy.org/bibtex/2d101637eb45706d1b58f43a47237bf20/dblp}, ee = {https://doi.org/10.1109/TIP.2022.3177311}, interhash = {a138347808ca59c2d6e6352a470338b1}, intrahash = {d101637eb45706d1b58f43a47237bf20}, journal = {IEEE Trans. Image Process.}, keywords = {dblp}, pages = {3935-3948}, timestamp = {2024-04-09T07:18:18.000+0200}, title = {PNRNet: Physically-Inspired Neural Rendering for Any-to-Any Relighting.}, url = {http://dblp.uni-trier.de/db/journals/tip/tip31.html#HuNWW22}, volume = 31, year = 2022 }