Models

Variational Inference with Gaussian Score Matching NeurIPS 2023 Variational Information Pursuit for Interpretable Predictions ICLR 2023 Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023 Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023 Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions NeurIPS 2023 Variational Open-Domain Question Answering ICML 2023 Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023 VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions CVPR 2023 VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models CVPR 2023 Vector-Quantized Prompt Learning for Paraphrase Generation EMNLP 2023 Vector Quantized Time Series Generation with a Bidirectional Prior Model AISTATS 2023 Vector Quantized Wasserstein Auto-Encoder ICML 2023 Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements EMNLP 2023 VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis ICCV 2023 Versatile Diffusion: Text, Images and Variations All in One Diffusion Model ICCV 2023 Versatile Neural Processes for Learning Implicit Neural Representations ICLR 2023 VGFlow: Visibility Guided Flow Network for Human Reposing CVPR 2023 Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning CVPR 2023 Video Background Music Generation: Dataset, Method and Evaluation ICCV 2023 Video Diffusion Models with Local-Global Context Guidance IJCAI 2023 Video Probabilistic Diffusion Models in Projected Latent Space CVPR 2023 VIDM: Video Implicit Diffusion Models AAAI 2023 Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data ICCV 2023 View Synthesis with Sculpted Neural Points ICLR 2023 VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models NeurIPS 2023