Efficient and Differentiable Shadow Computation for Inverse Problems. - Linjie Lyu; Marc Habermann; Lingjie Liu; Mallikarjun B. R. 001; Ayush Tewari; Christian Theobalt (ICCV, 2021)

Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination. - Linjie Lyu; Ayush Tewari; Thomas Leimkühler; Marc Habermann; Christian Theobalt (ECCV (17), 2022)

Simulation of spaceborne 1064nm single-photon LiDAR for space target detection. - Linjie Lyu; Duan Li 003; Lijun Xu 001 (IST, 2023)

Diffusion Posterior Illumination for Ambiguity-Aware Inverse Rendering. - Linjie Lyu; Ayush Tewari; Marc Habermann; Shunsuke Saito; Michael Zollhöfer; Thomas Leimkühler; Christian Theobalt (ACM Trans. Graph., 2023)

Photon-statistics-based IMM Kalman filtering method for moving targets detection using single-photon LiDAR. - Linjie Lyu; Duan Li 003; Pengmou Ma; Yanhong Jiang; Lisha Jiang; Lijun Xu 001 (I2MTC, 2024)

Space Target Pose Estimation Based on High-Level Geometric Correspondences for Single-Photon LiDAR. - Xinyu Wang; Duan Li 003; Linjie Lyu; Lijun Xu 001 (IST, 2024)

Manifold Sampling for Differentiable Uncertainty in Radiance Fields. - Linjie Lyu; Ayush Tewari; Marc Habermann; Shunsuke Saito; Michael Zollhöfer; Thomas Leimkühler; Christian Theobalt (SIGGRAPH Asia, 2024)

IntrinsicEdit: Precise generative image manipulation in intrinsic space. - Linjie Lyu; Valentin Deschaintre; Yannick Hold-Geoffroy; Milos Hasan; Jae Shin Yoon; Thomas Leimkühler; Christian Theobalt; Iliyan Georgiev (ACM Trans. Graph., 2025)