Generative Models

Improved Distribution Matching Distillation for Fast Image Synthesis NeurIPS 2024 Improved Techniques for Training Consistency Models ICLR 2024 Improving Adversarial Energy-Based Model via Diffusion Process ICML 2024 Improving Copy-oriented Text Generation via EDU Copy Mechanism COLING 2024 Improving Fairness in Deepfake Detection WACV 2024 Improving Gradient-Guided Nested Sampling for Posterior Inference ICML 2024 Improving Role-Oriented Dialogue Summarization with Interaction-Aware Contrastive Learning COLING 2024 Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders EACL 2024 Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance CVPR 2024 Improving the Effectiveness of Deep Generative Data WACV 2024 Improving the Fairness of the Min-Max Game in GANs Training WACV 2024 INCODE: Implicit Neural Conditioning With Prior Knowledge Embeddings WACV 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing CVPR 2024 InstanceDiffusion: Instance-level Control for Image Generation CVPR 2024 InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning CVPR 2024 Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator ECCV 2024 InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior ICLR 2024 Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics ICML 2024 Interactive3D: Create What You Want by Interactive 3D Generation CVPR 2024 InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction NeurIPS 2024 Interpreting Equivariant Representations ICML 2024 Intersectional Unfairness Discovery ICML 2024 Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models CVPR 2024 Intriguing Properties of Generative Classifiers ICLR 2024