VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis Paper • 2403.13501 • Published Mar 20 • 9
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation Paper • 2403.12015 • Published Mar 18 • 62
Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings Paper • 2403.07750 • Published Mar 12 • 21
SDXL-Lightning: Progressive Adversarial Diffusion Distillation Paper • 2402.13929 • Published Feb 21 • 27
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models Paper • 2402.08714 • Published Feb 13 • 10
InstaGen: Enhancing Object Detection by Training on Synthetic Dataset Paper • 2402.05937 • Published Feb 8 • 11
LiPO: Listwise Preference Optimization through Learning-to-Rank Paper • 2402.01878 • Published Feb 2 • 19
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs Paper • 2401.11708 • Published Jan 22 • 28
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation Paper • 2401.05675 • Published Jan 11 • 20
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models Paper • 2401.05252 • Published Jan 10 • 45
StarVector: Generating Scalable Vector Graphics Code from Images Paper • 2312.11556 • Published Dec 17, 2023 • 27
Diffusion Model Alignment Using Direct Preference Optimization Paper • 2311.12908 • Published Nov 21, 2023 • 47
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module Paper • 2311.05556 • Published Nov 9, 2023 • 79
Aligning Text-to-Image Diffusion Models with Reward Backpropagation Paper • 2310.03739 • Published Oct 5, 2023 • 21
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models Paper • 2309.16414 • Published Sep 28, 2023 • 19
CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a \10,000 Budget; An Extra 4,000 Unlocks 81.8% Accuracy Paper • 2306.15658 • Published Jun 27, 2023 • 12