Generative Models

FlowGrad: Controlling the Output of Generative ODEs With Gradients CVPR 2023 Flow Matching for Generative Modeling ICLR 2023 Flow Matching for Scalable Simulation-Based Inference NeurIPS 2023 Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow ICLR 2023 Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery AAAI 2023 Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning AAAI 2023 Formulating Discrete Probability Flow Through Optimal Transport NeurIPS 2023 Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions ICLR 2023 FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models NeurIPS 2023 Frequency-aware GAN for Adversarial Manipulation Generation ICCV 2023 Frequency-dependent Image Reconstruction Error for Micro Defect Detection ACML 2023 Frequency-Modulated Point Cloud Rendering With Easy Editing CVPR 2023 From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion NeurIPS 2023 From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting EMNLP 2023 Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration NeurIPS 2023 G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns IJCAI 2023 GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis CVPR 2023 GAN-Based Domain Inference Attack AAAI 2023 GANHead: Towards Generative Animatable Neural Head Avatars CVPR 2023 GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator ACL 2023 GAN Prior Based Null-Space Learning for Consistent Super-resolution AAAI 2023 GANs as Gradient Flows that Converge JMLR 2023 Gaussian Mixture Solvers for Diffusion Models NeurIPS 2023 GazeNeRF: 3D-Aware Gaze Redirection With Neural Radiance Fields CVPR 2023