Diffusion Models
6,478 papers
Papers per year
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1
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5
15
33
105
751
1,733
2,584
1,246
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Papers
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
ICLR 2024
Score Distillation Sampling with Learned Manifold Corrective
ECCV 2024
Score Distillation via Reparametrized DDIM
NeurIPS 2024
Score-Guided Diffusion for 3D Human Recovery
CVPR 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
ICML 2024
Score-Optimal Diffusion Schedules
NeurIPS 2024
Score Regularized Policy Optimization through Diffusion Behavior
ICLR 2024
SCube: Instant Large-Scale Scene Reconstruction using VoxSplats
NeurIPS 2024
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
CVPR 2024
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
CVPR 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
CVPR 2024
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
CVPR 2024
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
ICLR 2024
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
ICLR 2024
Seamless Human Motion Composition with Blended Positional Encodings
CVPR 2024
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
NeurIPS 2024
SeeDRec: Sememe-based Diffusion for Sequential Recommendation
IJCAI 2024
Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners
CVPR 2024
Seer: Language Instructed Video Prediction with Latent Diffusion Models
ICLR 2024
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
CVPR 2024
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
NeurIPS 2024
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
ICLR 2024
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
CVPR 2024
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization
CVPR 2024
Self-correcting LLM-controlled Diffusion Models
CVPR 2024