Generative Models

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024 HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs ICLR 2024 HyperFields: Towards Zero-Shot Generation of NeRFs from Text ICML 2024 I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing NeurIPS 2024 IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM CVPR 2024 IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding EMNLP 2024 Idempotence and Perceptual Image Compression ICLR 2024 Idempotent Generative Network ICLR 2024 IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity AAAI 2024 IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis MIDL 2024 Image Captioning with Multi-Context Synthetic Data AAAI 2024 Image Denoising and the Generative Accumulation of Photons WACV 2024 Image Hijacks: Adversarial Images can Control Generative Models at Runtime ICML 2024 Image Inpainting via Iteratively Decoupled Probabilistic Modeling ICLR 2024 ImageInWords: Unlocking Hyper-Detailed Image Descriptions EMNLP 2024 Image Neural Field Diffusion Models CVPR 2024 Image Reconstruction Via Autoencoding Sequential Deep Image Prior NeurIPS 2024 Image Sculpting: Precise Object Editing with 3D Geometry Control CVPR 2024 Image Understanding Makes for A Good Tokenizer for Image Generation NeurIPS 2024 IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies CoRL 2024 Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NeurIPS 2024 Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NeurIPS 2024 Implicit Motion Function CVPR 2024 Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes NeurIPS 2024 Importance Matching Lemma for Lossy Compression with Side Information AISTATS 2024