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Jun 22
Jun 22
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Discover the best community collections!
Collections including paper arxiv:2406.10601
Collection by
Jun 21
Jun 21
Collection by
17 days ago
17 days ago
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Zero-shot Image Editing with Reference Imitation
Paper • 2406.07547 • Published • 30 -
The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
Paper • 2406.10601 • Published • 65 -
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
Paper • 2407.05282 • Published • 12 -
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
Paper • 2407.16982 • Published • 40
Collection by
8 days ago
8 days ago
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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 4
Collection by
25 days ago
25 days ago
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RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization
Paper • 2403.00483 • Published • 11 -
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Paper • 2403.01779 • Published • 26 -
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Paper • 2401.11605 • Published • 20 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48
Collection by
2 days ago
2 days ago
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 36 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
Collection by
9 days ago
9 days ago
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PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
Paper • 2402.08714 • Published • 10 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 21 -
RLVF: Learning from Verbal Feedback without Overgeneralization
Paper • 2402.10893 • Published • 10 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 12
Collection by
2 days ago
2 days ago
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 8 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 15 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 58 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 71