BigCell: Generating Gigapixel Whole-Slide Images
BigCell generates coherent gigapixel histopathology slides, and synthetic samples raise few-shot classification by up to 18%.
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Stories tagged #generative-model
RNADyn: A Benchmark for Generating and Understanding RNA Dynamics
RNADynBench ships 2,585 quality-controlled 100-ns RNA molecular dynamics trajectories, plus RNADynNet, a unified model for trajectory generation and dynamics fingerprinting.
T3lescope: Arbitrary-Resolution High-Fidelity Generative Surface Reconstruction from Images
T3lescope reconstructs high-fidelity 3D meshes from multi-view images at arbitrary scale without per-scene optimization.
Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features
IDiom, trained on 54 million predicted disordered regions, designs IDR sequences with feature-guided reinforcement learning.
CDMD: A Cross-Dataset Mixed-Type Diffusion Model for Tabular Data
CDMD trains one mixed-type diffusion model jointly across heterogeneous tabular schemas and beats single-dataset baselines.
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces
Multimodal Flow introduces MF-1, a fully continuous language-and-vision model competitive after 150B tokens.
GeoCR: Learning a Generalist Cloud Removal Prior from Heterogeneous Observations
GeoCR is a generalist cloud-removal model unifying RGB and multispectral inputs, with optional SAR, across ten datasets.
Kaininja: Extending Native 3D Generators to the Part Level
KaiNinja extends TRELLIS.2 native 3D generation to part-level assets via a dual-volume O-Voxel representation, cutting whole-object Chamfer distance by 40%.
NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
Researchers introduce NOAH, a time-aware generative transformer trained on 559 million MIMIC clinical events to forecast multimodal patient trajectories.