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Generative Models

197 directly classified papers

Papers per year

Papers

Scalable Motion Style Transfer with Constrained Diffusion Generation AAAI 2024
Generative-Based Fusion Mechanism for Multi-Modal Tracking AAAI 2024
Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024
Discriminator Guidance for Autoregressive Diffusion Models AISTATS 2024
Towards Editing Time Series NIPS 2024
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization NIPS 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing CVPR 2024
Don’t Augment, Rewrite? Assessing Abusive Language Detection with Synthetic Data ACL 2024
Conditional Synthesis of 3D Molecules with Time Correction Sampler NIPS 2024
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment CVPR 2024
On conditional diffusion models for PDE simulations NIPS 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding EMNLP 2024
Geometric Trajectory Diffusion Models NIPS 2024
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance CVPR 2024
Video Interpolation with Diffusion Models CVPR 2024
Equivariant Neural Diffusion for Molecule Generation NIPS 2024
Fast samplers for Inverse Problems in Iterative Refinement models NIPS 2024
On the Content Bias in Frechet Video Distance CVPR 2024
DREAM: Diffusion Rectification and Estimation-Adaptive Models CVPR 2024
Modelling Variability in Human Annotator Simulation ACL 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization NIPS 2024
Faithful Persona-based Conversational Dataset Generation with Large Language Models ACL 2024
Improving the Training of Rectified Flows NIPS 2024