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ml-sharp is a neural radiance field framework designed for single-image 3D reconstruction. It uses a neural network to predict 3D geometry and appearance from a single photograph in a single feedforward pass. The system generates metric 3D scene representations and includes a real-time view synthesizer for producing high-resolution images of new viewpoints. It also features a camera trajectory renderer that creates video sequences by moving a virtual camera through the predicted 3D space. The project covers coordinate-based neural rendering, 3D Gaussian representation regression, and real-ti
Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, Yinda Zhang
Cheng Zhang, Zhaopeng Cui, Yinda Zhang*, Shuaicheng Liu, Bing Zeng, Marc Pollefeys
AdelaiDepth is an open source toolbox for monocular depth prediction. Relevant work from our group is open-sourced here.
This is the repository of our paper 'Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes' in ECCV 2022 Paper - ArXiv - pdf ( abs )
The main features of unclemedm/instpifu are: Holistic Scene Understanding, Single View Reconstruction.
Projects with overlapping indexed features include: apple/ml-sharp — ml-sharp is a neural radiance field framework designed for single-image 3D reconstruction. It uses a neural network to… chengzhag/deeppanocontext — Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, Yinda Zhang. chengzhag/implicit3dunderstanding — Cheng Zhang, Zhaopeng Cui, Yinda Zhang*, Shuaicheng Liu, Bing Zeng, Marc Pollefeys. chtsy/buol — This is an official release of the paper BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D… dlr-rm/singleviewreconstruction — Maximilian Denninger and Rudolph Triebel. aim-uofa/adelaidepth — AdelaiDepth is an open source toolbox for monocular depth prediction. Relevant work from our group is open-sourced here.