From df5ef77f34c7314ac1adc14b836dd4a8931ea746 Mon Sep 17 00:00:00 2001 From: Jiawang Bian Date: Wed, 21 Feb 2024 11:02:24 +0800 Subject: [PATCH] Update README.md --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 4bcc840..2bf5146 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,9 @@ # PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction -We present a novel method for joint optimisation of neural surface reconstruction and camera pose, called PoRF (pose residual field), which uses an MLP to learn the pose residual instead of optimising camera pose parameters directly. +We present PoRF (pose residual field) for joint optimisation of neural surface reconstruction and camera pose. It uses an MLP to refine the camera poses for all images in the dataset instead of optimising pose parameters for each image independently. The following figure shows that our method can take the COLMAP pose as input and our refined camera pose can be comparable to the GT pose in 3D surface reconstruction. The Chamfer distances (mm) are compared. + + +![alt tag](https://porf.active.vision/image/dtu_vis.png) + ## [Project page](https://porf.active.vision/) | [Paper](https://arxiv.org/abs/2310.07449) | [Data](https://1drv.ms/u/s!AiV6XqkxJHE2pme7CIkceyLGsng2?e=6qsnlt)