Render
Datasets
All datasets matching “Render”cmp-v6-base108-renderRenderedTextThis dataset has been created by Stability AI and LAION.
This dataset contains 12 million 1024x1024 images of handwritten text written on a digital 3D sheet of paper generated using Blender geometry nodes and rendered using Blender Cycles. The text has varying font size, color, and rotation, and the paper was rendered under random lighting conditions.
Note that, the first 10 million examples are in the root folder of this dataset repository and the remaining 2 million are in ./remaining (due… See the full description on the dataset page: https://huggingface.co/datasets/wendlerc/RenderedText.olmocr-pre-rendered
olmOCR-bench Pre-Rendered
Pre-rendered PNG images of the olmOCR-bench benchmark dataset, ready for zero-setup evaluation of any OCR / vision model.
What This Is
The official olmOCR benchmark requires downloading 1,403 PDFs locally and rendering each page to a PNG image before sending it to a model. Every benchmark runner in the official repo does this same rendering step internally — see olmocr/data/renderpdf.py::render_pdf_to_base64png().
This dataset eliminates that… See the full description on the dataset page: https://huggingface.co/datasets/shhdwi/olmocr-pre-rendered.3dfront_render_viewsObjaverse-PBR-render
Objaverse-PBR-render
PBR rendered condition videos for Ink3D — a 3D texture generation pipeline using video generative models.
📄 Paper: Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models💻 Code: github.com/YueHan99/Ink3D.TextureGen🤗 Model: Yuehavingfun/orbitpainter-single
This dataset provides pre-rendered geometry condition videos (position, normal, albedo, RGB, depth, mask) for ~23,000 Objaverse models, rendered from horizontal (H) and… See the full description on the dataset page: https://huggingface.co/datasets/Yuehavingfun/Objaverse-PBR-render.differentiable-render-camouflage-data
DRC CARLA Multi-Vehicle Camouflage Dataset
This repository releases the audited synthetic data and geometry assets used to
study whether one differentiable vehicle-camouflage generator transfers across
vehicle shapes. The release preserves the original split manifests, collection
protocols, audit records, and SHA-256 checksums. It is intended for reproducible
adversarial-robustness research, including the analysis of negative results.
Release contents… See the full description on the dataset page: https://huggingface.co/datasets/bailuyucha/differentiable-render-camouflage-data.