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Generative Models

6381 directly classified papers

Papers per year

Papers

Integrating Biological Knowledge for Robust Microscopy Image Profiling on De Novo Cell Lines ICCV 2025
Discretized Gaussian Representation for Tomographic Reconstruction ICCV 2025
CF3: Compact and Fast 3D Feature Fields ICCV 2025
EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting ICCV 2025
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models ICCV 2025
Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization ICCV 2025
SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates ICCV 2025
Di[M]O: Distilling Masked Diffusion Models into One-step Generator ICCV 2025
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension ICCV 2025
DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection ICCV 2025
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning ICCV 2025
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control AAAI 2025
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging AAAI 2025
SPD: Shallow Backdoor Protecting Deep Backdoor Against Backdoor Detection ICCV 2025
AlignGuard: Scalable Safety Alignment for Text-to-Image Generation ICCV 2025
Dial2MSA-Verified: A Multi-Dialect Arabic Social Media Dataset for Neural Machine Translation to Modern Standard Arabic COLING 2025
Rationale-Guided Distillation for E-Commerce Relevance Classification: Bridging Large Language Models and Lightweight Cross-Encoders COLING 2025
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation AAAI 2025
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification AAAI 2025
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks AAAI 2025
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting AAAI 2025
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling AAAI 2025
Can Generative Models Improve Self-Supervised Representation Learning? AAAI 2025
LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs ICCV 2025