Generative Models

Repurformer: Transformers for Repurposing-Aware Molecule Generation ACL 2024 Residual Learning in Diffusion Models CVPR 2024 Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model AAAI 2024 Restoration by Generation with Constrained Priors CVPR 2024 Rethinking FID: Towards a Better Evaluation Metric for Image Generation CVPR 2024 Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion ICML 2024 Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis CVPR 2024 Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation AAAI 2024 Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation NeurIPS 2024 Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection CVPR 2024 Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos NeurIPS 2024 Return of Unconditional Generation: A Self-supervised Representation Generation Method NeurIPS 2024 Revisit and Outstrip Entity Alignment: A Perspective of Generative Models ICLR 2024 Revisiting Latent Space of GAN Inversion for Robust Real Image Editing WACV 2024 Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis CVPR 2024 RGB-D Mapping and Tracking in a Plenoxel Radiance Field WACV 2024 RGFN: Synthesizable Molecular Generation Using GFlowNets NeurIPS 2024 RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks AAAI 2024 Rich Human Feedback for Text-to-Image Generation CVPR 2024 Risk Management in Image Generative Models through Model Fingerprinting AAAI 2024 RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching ICML 2024 RobIR: Robust Inverse Rendering for High-Illumination Scenes NeurIPS 2024 RoboDreamer: Learning Compositional World Models for Robot Imagination ICML 2024 RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation ICML 2024 Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024