Dataset Groups Activity Stream Geometry aware 3D generation from in-the-wild images in ImageNet Generating accurate 3D models is a challenging problem that traditionally requires explicit learning from 3D datasets using supervised learning. BibTex: @dataset{Qijia_Shen_and_Guangrun_Wang_2024, abstract = {Generating accurate 3D models is a challenging problem that traditionally requires explicit learning from 3D datasets using supervised learning.}, author = {Qijia Shen and Guangrun Wang}, doi = {10.57702/chhqlw28}, institution = {No Organization}, keyword = {'3D models', 'Generative Adversarial Networks', 'ImageNet'}, month = {dec}, publisher = {TIB}, title = {Geometry aware 3D generation from in-the-wild images in ImageNet}, url = {https://service.tib.eu/ldmservice/dataset/geometry-aware-3d-generation-from-in-the-wild-images-in-imagenet}, year = {2024} }
