haodoz0118 commited on
Commit
1c2bb9a
·
verified ·
1 Parent(s): 4a4a113

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -5,7 +5,7 @@ license: cc-by-4.0
5
 
6
  ## Dataset Description
7
 
8
- The **MPI3D-realistic dataset** is a **photorealistic synthetic image dataset** designed for benchmarking algorithms in **disentangled representation learning** and **unsupervised representation learning**. It is part of the broader MPI3D dataset suite, which also includes [synthetic toy](https://huggingface.co/datasets/randall-lab/mpi3d-toy) and [real-world](https://huggingface.co/datasets/randall-lab/mpi3d-real) variants.
9
 
10
  The **realistic version** was rendered using a **physically-based photorealistic renderer** applied to **CAD models** of physical 3D objects. The rendering simulates realistic lighting, materials, and camera effects to closely match the real-world recordings of the MPI3D-real dataset. This enables researchers to systematically study **sim-to-real transfer** and assess how well models trained on high-fidelity synthetic images generalize to real-world data.
11
 
 
5
 
6
  ## Dataset Description
7
 
8
+ The **MPI3D-realistic dataset** is a **photorealistic synthetic image dataset** designed for benchmarking algorithms in **disentangled representation learning** and **unsupervised representation learning**. It is part of the broader MPI3D dataset suite, which also includes [synthetic toy](https://huggingface.co/datasets/randall-lab/mpi3d-toy), [real-world](https://huggingface.co/datasets/randall-lab/mpi3d-real) and [complex real-world](https://huggingface.co/datasets/randall-lab/mpi3d-complex) variants.
9
 
10
  The **realistic version** was rendered using a **physically-based photorealistic renderer** applied to **CAD models** of physical 3D objects. The rendering simulates realistic lighting, materials, and camera effects to closely match the real-world recordings of the MPI3D-real dataset. This enables researchers to systematically study **sim-to-real transfer** and assess how well models trained on high-fidelity synthetic images generalize to real-world data.
11