DEEP LEARNING

PHOSA — SOTA Neural Network That Extracts an Object 3D Model From an Image

PHOSA is the new state-of-the-art neural network in 3D model extraction from 2D image

PHOSA — SOTA Neural Network That Extracts an Object 3D Model From an Image
PHOSA — SOTA Neural Network That Extracts an Object 3D Model From an Image
Source: Arxiv

PHOSA — More about the model

Overview of the PHOSA approach
Overview of the PHOSA approach
Overview of the PHOSA approach. Source: Arxiv
PHOSA — Ambiguity in scale. Recovering a 3D scene from a 2D image is fundamentally ambiguous because multiple 3D interpretat
PHOSA — Ambiguity in scale. Recovering a 3D scene from a 2D image is fundamentally ambiguous because multiple 3D interpretat
Ambiguity in scale. Recovering a 3D scene from a 2D image is fundamentally ambiguous because multiple 3D interpretations can have the same 2D projection. Source: Arxiv

PHOSA model performance evaluation

PHOSA — Percentage of images for which our proposed method performs
 better on a subset of COCO 2017 test set
PHOSA — Percentage of images for which our proposed method performs
 better on a subset of COCO 2017 test set
Percentage of images for which our proposed method performs better on a subset of COCO 2017 test set. Source: Arxiv

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Written by

Bioinformatician at Oncobox Inc. (@oncobox). Research Associate at Moscow Institute of Physics and Technology (@mipt_eng).

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