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Generative Models

6,381 papers

Papers per year

Papers

DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models NIPS 2024
Towards a Scalable Reference-Free Evaluation of Generative Models NIPS 2024
MeLLoC: Lossless Compression with High-order Mechanism Learning NIPS 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses NIPS 2024
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models NIPS 2024
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data NIPS 2024
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning NIPS 2024
Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting NIPS 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations NIPS 2024
RobIR: Robust Inverse Rendering for High-Illumination Scenes NIPS 2024
FairWire: Fair Graph Generation NIPS 2024
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations NIPS 2024
Return of Unconditional Generation: A Self-supervised Representation Generation Method NIPS 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization NIPS 2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training NIPS 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models NIPS 2024
Consistency Models for Scalable and Fast Simulation-Based Inference NIPS 2024
AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations NIPS 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting NIPS 2024
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation NIPS 2024
An Image is Worth 32 Tokens for Reconstruction and Generation NIPS 2024
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series NIPS 2024
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI NIPS 2024
MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling NIPS 2024
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance NIPS 2024