most citedP2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2023★ 2 cited

P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments

Xujie Kang, Kanglin Liu, Jiang Duan +2

Given a new camera pose in an indoor environment, we study the challenging problem of predicting the view from that pose based on a set of reference RGBD views. Existing exp…