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May 16
May 16
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Collections including paper arxiv:2310.16825
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Jun 20
Jun 20
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One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Paper • 2306.07967 • Published • 24 -
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Paper • 2306.07954 • Published • 113 -
TryOnDiffusion: A Tale of Two UNets
Paper • 2306.08276 • Published • 72 -
Seeing the World through Your Eyes
Paper • 2306.09348 • Published • 32
Collection by
24 days ago
24 days ago
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PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Paper • 2310.00426 • Published • 61 -
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 39 -
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Paper • 2310.16825 • Published • 31 -
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Paper • 2401.11605 • Published • 20
Collection by
Jul 12
Jul 12
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A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 39 -
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Paper • 2310.16825 • Published • 31 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 40 -
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Paper • 2311.04145 • Published • 32
Collection by
Jul 24
Jul 24
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Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Paper • 2309.05653 • Published • 10 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18
Collection by
Jul 22
Jul 22
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 18 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4
Collection by
10 days ago
10 days ago
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Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 14 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 25 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 6 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20
Collection by
May 16
May 16
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common-canvas/commoncatalog-cc-by
Viewer • Updated • 14.6M • 11 • 23 -
common-canvas/commoncatalog-cc-by-sa
Viewer • Updated • 7.89M • 13 • 5 -
common-canvas/commoncatalog-cc-by-nd
Viewer • Updated • 3.95M • 8 • 2 -
common-canvas/commoncatalog-cc-by-nc
Viewer • Updated • 10.5M • 14 • 5
Collection by
Apr 7
Apr 7
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FreeU: Free Lunch in Diffusion U-Net
Paper • 2309.11497 • Published • 64 -
Imagic: Text-Based Real Image Editing with Diffusion Models
Paper • 2210.09276 • Published -
On Architectural Compression of Text-to-Image Diffusion Models
Paper • 2305.15798 • Published • 4 -
Wuerstchen: Efficient Pretraining of Text-to-Image Models
Paper • 2306.00637 • Published • 12
Collection by
Jul 12
Jul 12
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InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Paper • 2309.06380 • Published • 32 -
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Paper • 2309.05793 • Published • 50 -
Generative Image Dynamics
Paper • 2309.07906 • Published • 52 -
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
Paper • 2309.15818 • Published • 18