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Autoencoders

1095 directly classified papers

Papers per year

Papers

Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks AAAI 2026

Point-SRA: Self-Representation Alignment for 3D Representation Learning AAAI 2026

Disentangle and Regularize: Sign Language Production with Articulator-Based Disentanglement and Channel-Aware Regularization WACV 2026

Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage AAAI 2026

Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame AAAI 2026

X-MoGen: Unified Motion Generation Across Humans and Animals AAAI 2026

MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data WACV 2026

Feature-Disentangling RGB-NIR Fusion Network for Remote Driver Physiological Measurement WACV 2026

Correcting Quantization-Induced Gradient Mismatch in Neural Image Compression AAAI 2026

CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation AAAI 2026

RealNet: Efficient and Unsupervised Detection of AI-Generated Images via Real-Only Representation Learning AAAI 2026

TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation AAAI 2026

Splats in Splats: Robust and Effective 3D Steganography Towards Gaussian Splatting AAAI 2026

EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion AAAI 2026

RobustFormer: Noise-Robust Pre-training for Images and Videos WACV 2026

ProtoGMVAE: A Variational Auto-Encoder with True Gaussian Mixture Prior for Prototypical-based Self-Explainability WACV 2026

Pyramidal Spectrum: Frequency-based Hierarchically Vector Quantized VAE for Videos WACV 2026

Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery WACV 2026

Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis WACV 2026

Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story EACL 2026

DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects AAAI 2026

VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling AAAI 2026

Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents AAAI 2026

Feature Integration Spaces: Joint Training Reveals Dual Encoding in Neural Network Representations AAAI 2026

RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection AAAI 2026