conftrace_

generative model

2892 papers

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Also known as

GM

Co-occurring keywords

diffusion model (3751) image generation (2073) variational autoencoder (1288) variational inference (2069) neural network (6616) latent space (854) generative adversarial network (1944) representation learning (6206) unsupervised learning (3264) normalizing flow (354)

Papers

Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment AAAI 2026
DEIG: Detail-Enhanced Instance Generation with Fine-Grained Semantic Control AAAI 2026
AutoPP: Towards Automated Product Poster Generation and Optimization AAAI 2026
Improving Sustainability of Adversarial Examples in Class-Incremental Learning AAAI 2026
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects AAAI 2026
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation AAAI 2026
AuthSig: Safeguarding Scanned Signatures Against Unauthorized Reuse in Paperless Workflows AAAI 2026
Inferring Heterogeneous Private Valuations from Offline Market Data via Entropic Risk-Sensitive Utility Maximization AAAI 2026
CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation AAAI 2026
LLA: Enhancing Security and Privacy for Generative Models with Logic-Locked Accelerators AAAI 2026
What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment AAAI 2026
One for All: Synthesis-Free Fingerprint Learning for Attribution of In-the-Wild Synthetic Images AAAI 2026
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model AAAI 2026
How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions AAAI 2026
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025
MEGA: Masked Generative Autoencoder for Human Mesh Recovery CVPR 2025
Random Conditioning for Diffusion Model Compression with Distillation CVPR 2025
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network CVPR 2025
IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks CVPR 2025
Learning A Unified Template for Gait Recognition ICCV 2025
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization AAAI 2025
REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder ICCV 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability AAAI 2025