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Diffusion Models

4342 directly classified papers

Papers per year

Papers

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs NIPS 2024
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NIPS 2024
EM Distillation for One-step Diffusion Models NIPS 2024
4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models NIPS 2024
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models NIPS 2024
Equivariant Neural Diffusion for Molecule Generation NIPS 2024
Diffusion Models are Certifiably Robust Classifiers NIPS 2024
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NIPS 2024
Guiding a Diffusion Model with a Bad Version of Itself NIPS 2024
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models NIPS 2024
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation NIPS 2024
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function NIPS 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NIPS 2024
Optical Diffusion Models for Image Generation NIPS 2024
Adversarial Environment Design via Regret-Guided Diffusion Models NIPS 2024
VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models NIPS 2024
UniFL: Improve Latent Diffusion Model via Unified Feedback Learning NIPS 2024
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation NIPS 2024
FouRA: Fourier Low-Rank Adaptation NIPS 2024
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation NIPS 2024
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models NIPS 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NIPS 2024
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy NIPS 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control NIPS 2024
CAT3D: Create Anything in 3D with Multi-View Diffusion Models NIPS 2024