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All datasets matching “graph”Graphite_Past_ProblemsGenPoster100K
Dataset Card for GenPoster100K
Dataset Summary
GenPoster-100K is a large-scale dataset for content-aware graphic layout generation introduced in the SEGA paper.
The paper describes it as a high-quality poster dataset with layer-parseable source materials and rich metadata.
This repository provides a Hugging Face datasets loader implementation that reads the source release (BruceW91/GenPoster-100K) and exposes normalized examples with:
poster background image… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/GenPoster100K.graphkind-universos
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Abstract
We classify the operators under which the color refinement (1-WL)
profile of a graph is invariant, inside a parametric family of
observation universes (f, ι) — f compresses neighborhood counts
and ι is an involution. The engine proposed and verified that the
color refinement partition is complement-invariant (call it T4; the
conjecture mechanism was human-built), verified it on 2,131… See the full description on the dataset page: https://huggingface.co/datasets/Jose-dev/graphkind-universos.neural-graphics-dataset
Neural Graphics Dataset
A compact collection of reference image sequences with accompanying motion, depth, and related rendering data, designed for training, validation, and evaluation of neural graphics models.
It is intended for use with models in the Neural Graphics Model Gym, including:
Neural Super Sampling (NSS)
Neural Frame Rate Upscaling (NFRU)
The dataset is intended as a small, practical example dataset for tutorials and experimentation. For best performance in… See the full description on the dataset page: https://huggingface.co/datasets/Arm/neural-graphics-dataset.graph_ghost_datavisem-tracking-graphs
VISEM-Tracking-graphs - HuggingFace Repository
This HuggingFace repository contains the pre-generated graphs for the sperm video dataset called VISEM-Tracking (https://huggingface.co/papers/2212.02842) . The graphs represent spatial and temporal relationships between sperm in a video. Spatial edges connect sperms within the same frame, while temporal edges connect sperms across different frames.
The graphs have been generated with varying spatial threshold values: 0.1, 0.2, 0.3, 0.4… See the full description on the dataset page: https://huggingface.co/datasets/SimulaMet-HOST/visem-tracking-graphs.
