Generative Models

Towards Consistent Video Editing with Text-to-Image Diffusion Models NeurIPS 2023 Towards Effective Long-Form QA with Evidence Augmentation EMNLP 2023 Towards General Low-Light Raw Noise Synthesis and Modeling ICCV 2023 Towards Generating Ultra-High Resolution Talking-Face Videos With Lip Synchronization WACV 2023 Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case ICLR 2023 Towards Practical Plug-and-Play Diffusion Models CVPR 2023 Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation IJCAI 2023 Towards Smooth Video Composition ICLR 2023 Towards Symmetry-Aware Generation of Periodic Materials NeurIPS 2023 Towards Test-Time Refusals via Concept Negation NeurIPS 2023 Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors CVPR 2023 Towards Understanding and Improving GFlowNet Training ICML 2023 Towards Understanding Omission in Dialogue Summarization ACL 2023 Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation CVPR 2023 TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation ICML 2023 Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion CVPR 2023 Training Energy-Based Normalizing Flow with Score-Matching Objectives NeurIPS 2023 Training Normalizing Flows from Dependent Data ICML 2023 Trans-Dimensional Generative Modeling via Jump Diffusion Models NeurIPS 2023 Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End AACL 2023 Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models EACL 2023 TriVol: Point Cloud Rendering via Triple Volumes CVPR 2023 TSTR: Target Similarity Tuning Meets the Real World EMNLP 2023 UATVR: Uncertainty-Adaptive Text-Video Retrieval ICCV 2023 UDE: A Unified Driving Engine for Human Motion Generation CVPR 2023