DynIBaR: Dynamic Neural Image-Based Rendering https://rgb.cs.cornell.edu/wp-content/uploads/2023/06/dog-run-3_432p.mp4 CVPR 2023 Best Paper Honorable Mention PDF | Website Authors: Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker and Noah Snavely IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images CVPR 2022 PDF | Website | Video Authors: Kai Zhang, Fujun Luan, Zhengqi Li and Noah Snavely 3D Moments from Near-Duplicate Photos CVPR 2022 PDF | Website | Video Authors: Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless and Janne Kontkanen Crowdsampling the Plenoptic Function ECCV 2020 PDF | Website | Video Authors: Zhengqi Li, Wenqi Xian, Abe Davis and Noah Snavely UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images ICCV 2019 PDF | Website Authors: Wenqi Xian, Zhengqi Li, Matt Fisher, J Eisenmann, Eli Shechtman and Noah Snavely Learning the Depths of Moving People by Watching Frozen People CVPR 2019 PDF | Website | Video Authors: Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu and Bill Freeman CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering ECCV 2018 PDF | Website Authors: Zhengqi Li and Noah Snavely Learning Intrinsic Image Decomposition from Watching the World CVPR 2018 PDF | Website Authors: Zhengqi Li and Noah Snavely MegaDepth: Learning Single-View Depth Prediction from Internet Photos CVPR 2018 PDF | Website Authors: Zhengqi Li and Noah Snavely
