latent space
A representation space where data is embedded in a lower-dimensional form, capturing underlying features, and used for various tasks in generative models.
- $\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
- A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
- Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
- Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
- Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
- CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
- Compressed and Smooth Latent Space for Text Diffusion Modeling
- Convergent Functions, Divergent Forms
- DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models
- DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
- Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
- Dynamic View Synthesis as an Inverse Problem
- ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators
- Efficient Rectified Flow for Image Fusion
- Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
- Exploring and Leveraging Class Vectors for Classifier Editing
- Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows
- FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation
- Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
- GMM-based VAE model with Normalising Flow for effective stochastic segmentation
- Go With the Flow: Fast Diffusion for Gaussian Mixture Models
- Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
- Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
- How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
- Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
- Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
- JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
- Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
- Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
- Learning Robust Vision-Language Models from Natural Latent Spaces
- Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
- Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
- Neural-Driven Image Editing
- OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
- OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales
- Periodic Skill Discovery
- Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
- Prior-Guided Diffusion Planning for Offline Reinforcement Learning
- Searching Latent Program Spaces
- Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
- SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing
- State-Covering Trajectory Stitching for Diffusion Planners
- StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations
- TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
- Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains
- Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator
- WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
- When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization
- With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
- World Models as Reference Trajectories for Rapid Motor Adaptation