Papers › InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic...

InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior Learning

8 Mar 2023arXiv:2303.04508archive 2025-07-28

Seunghwan Lee, Gwanmo Park, Hyewon Son, Jiwon Ryu, Han Joo Chae

We introduce InFusionSurf, an innovative enhancement for neural radiance field (NeRF) frameworks in 3D surface reconstruction using RGB-D video frames. Building upon previous methods that have employed feature encoding to improve optimization speed, we further improve the reconstruction quality with minimal impact on optimization time by refining depth information. InFusionSurf addresses camera motion-induced blurs in each depth frame through a per-frame intrinsic refinement scheme. It incorporates the truncated signed distance field (TSDF) Fusion, a classical real-time 3D surface reconstruction method, as a pretraining tool for the feature grid, enhancing reconstruction details and training speed. Comparative quantitative and qualitative analyses show that InFusionSurf reconstructs scenes with high accuracy while maintaining optimization efficiency. The effectiveness of our intrinsic refinement and TSDF Fusion-based pretraining is further validated through an ablation study.

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alphanum_key ROKIT-Healthcare/FastSurf/datasets/load_scannet.py official repository unverified MIT (permissive) · 74b478a4068c1cb6 · report
create_grid ROKIT-Healthcare/FastSurf/grid.py official repository unverified MIT (permissive) · 44e4ce5907854b38 · report
cull_by_bounds ROKIT-Healthcare/FastSurf/eval/cull_mesh.py official repository unverified MIT (permissive) · 8b1e8b9af1a7debb · report
focal_to_fov ROKIT-Healthcare/FastSurf/eval/frustum_culling.py official repository unverified MIT (permissive) · 3f06412d2d75a841 · report
fov_to_focal ROKIT-Healthcare/FastSurf/eval/frustum_culling.py official repository unverified MIT (permissive) · 9ebc9d572e0d19a5 · report
get_batch_query_fn ROKIT-Healthcare/FastSurf/extract_mesh.py official repository unverified MIT (permissive) · 07266a2aab8084b1 · report
get_embedder_obj ROKIT-Healthcare/FastSurf/nerf_helpers.py official repository unverified MIT (permissive) · 251fc8a881780ad8 · report
get_masks ROKIT-Healthcare/FastSurf/losses.py official repository unverified MIT (permissive) · 865d49d44a21dc85 · report
get_projection_matrix ROKIT-Healthcare/FastSurf/eval/frustum_culling.py official repository unverified MIT (permissive) · 2dcbd49142f39412 · report
get_scene_bound ROKIT-Healthcare/FastSurf/optimize.py official repository unverified MIT (permissive) · c807eff4153ef3b9 · report
get_scene_bounds ROKIT-Healthcare/FastSurf/scene_bounds.py official repository unverified MIT (permissive) · 827f3a1588ea2263 · report
get_view_frustum ROKIT-Healthcare/FastSurf/optimize.py official repository unverified MIT (permissive) · 6c739c53b8ec2bdc · report
load_first_pose ROKIT-Healthcare/FastSurf/eval/dataloader_util.py official repository unverified MIT (permissive) · 22c9a649c43f4fe3 · report
load_focal_length ROKIT-Healthcare/FastSurf/datasets/load_scannet.py official repository unverified MIT (permissive) · b34e7e28f93c1583 · report
load_poses ROKIT-Healthcare/FastSurf/datasets/load_scannet.py official repository unverified MIT (permissive) · c30c27242d09e709 · report
rigid_transform ROKIT-Healthcare/FastSurf/optimize.py official repository unverified MIT (permissive) · 11f8b23014d15eb0 · report

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3D ReconstructionNeRFSurface Reconstruction

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