Indoor Scene Reconstruction
9 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Indoor Scene Reconstruction
Rent3D++
Most implemented papers
End-to-End Optimization of Scene Layout
Experiments suggest that our model achieves higher accuracy and diversity in conditional scene synthesis and allows exemplar-based scene generation from various input forms.
Holistic 3D Human and Scene Mesh Estimation from Single View Images
ZZWENG/holistic_mesh
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CVPR 2021
Indeed, from a single image of a person placed in an indoor scene, we as humans are adept at resolving ambiguities of the human pose and room layout through our knowledge of the physical laws and prior perception of the plausible object and human poses.
SimpleRecon: 3D Reconstruction Without 3D Convolutions
Traditionally, 3D indoor scene reconstruction from posed images happens in two phases: per-image depth estimation, followed by depth merging and surface reconstruction.
I$^2$-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs
In this work, we present I$^2$-SDF, a new method for intrinsic indoor scene reconstruction and editing using differentiable Monte Carlo raytracing on neural signed distance fields (SDFs).
Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement
yec22/fine-grained-indoor-recon
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To enhance the normal priors, we introduce a simple yet effective image sharpening and denoising technique, coupled with a network that estimates the pixel-wise uncertainty of the predicted surface normal vectors.
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
Advanced techniques using Neural Radiance Fields (NeRF), Signed Distance Fields (SDF), and Occupancy Fields have recently emerged as solutions for 3D indoor scene reconstruction.
Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment
Semanticity-Research/SRBIM
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The adoption of Building Information Modeling (BIM) is beneficial in construction projects.
VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction
Concretely, we develop a novel density-VF relationship and a training scheme that allows us to learn VF via volume rendering By doing this, VF-NeRF can model large planar surfaces and sharp corners accurately.
FreeSplat++: Generalizable 3D Gaussian Splatting for Efficient Indoor Scene Reconstruction
After the feed-forward reconstruction of 3DGS primitives, we investigate a depth-regularized per-scene fine-tuning process.
