DiLiGenT102: A Photometric Stereo Benchmark Dataset with Controlled Shape and Material Variation. - Jieji Ren; Feishi Wang; Jiahao Zhang; Qian Zheng; Mingjun Ren; Boxin Shi (CVPR, 2022)

NeIF: Representing General Reflectance as Neural Intrinsics Fields for Uncalibrated Photometric Stereo. - Zongrui Li 001; Qian Zheng; Feishi Wang; Boxin Shi; Gang Pan 001; Xudong Jiang 001 (CoRR, 2022)

DiLiGenT-Π: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and Beyond. - Feishi Wang; Jieji Ren; Heng Guo 003; Mingjun Ren; Boxin Shi (ICCV, 2023)

DiLiGenRT: A Photometric Stereo Dataset with Quantified Roughness and Translucency. - Heng Guo 003; Jieji Ren; Feishi Wang; Boxin Shi; Mingjun Ren; Yasuyuki Matsushita (CVPR, 2024)

EventPS: Real-Time Photometric Stereo Using an Event Camera. - Bohan Yu; Jieji Ren; Jin Han 001; Feishi Wang; Jinxiu Liang; Boxin Shi (CVPR, 2024)

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning. - Haoran Geng; Feishi Wang; Songlin Wei; Yuyang Li; Bangjun Wang; Boshi An; Charlie Tianyue Cheng; Haozhe Lou; Peihao Li; Yen-Jen Wang; Yutong Liang; Dylan Goetting; et al. (CoRR, 2025)

MultiGen: Using Multimodal Generation in Simulation to Learn Multimodal Policies in Real. - Renhao Wang; Haoran Geng; Tingle Li; Feishi Wang; Gopala Anumanchipalli; Philipp Wu; Trevor Darrell; Boyi Li; Pieter Abbeel; Jitendra Malik; Alexei A. Efros (CoRR, 2025)