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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collections
Discover the best community collections!
Collections including paper arxiv:2504.16915
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ReZero: Enhancing LLM search ability by trying one-more-time
Paper • 2504.11001 • Published • 14 -
FonTS: Text Rendering with Typography and Style Controls
Paper • 2412.00136 • Published • 1 -
GenEx: Generating an Explorable World
Paper • 2412.09624 • Published • 97 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 154
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Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 121 -
DreamO: A Unified Framework for Image Customization
Paper • 2504.16915 • Published • 24 -
An Empirical Study of GPT-4o Image Generation Capabilities
Paper • 2504.05979 • Published • 63
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 76
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LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
Paper • 2412.09622 • Published • 8 -
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
Paper • 2412.04146 • Published • 23 -
Learning Flow Fields in Attention for Controllable Person Image Generation
Paper • 2412.08486 • Published • 36 -
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
Paper • 2412.05148 • Published • 12
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A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 20 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 12 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 14 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 49
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
ReZero: Enhancing LLM search ability by trying one-more-time
Paper • 2504.11001 • Published • 14 -
FonTS: Text Rendering with Typography and Style Controls
Paper • 2412.00136 • Published • 1 -
GenEx: Generating an Explorable World
Paper • 2412.09624 • Published • 97 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 154
-
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
Paper • 2412.09622 • Published • 8 -
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
Paper • 2412.04146 • Published • 23 -
Learning Flow Fields in Attention for Controllable Person Image Generation
Paper • 2412.08486 • Published • 36 -
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
Paper • 2412.05148 • Published • 12
-
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 121 -
DreamO: A Unified Framework for Image Customization
Paper • 2504.16915 • Published • 24 -
An Empirical Study of GPT-4o Image Generation Capabilities
Paper • 2504.05979 • Published • 63
-
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 76
-
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 20 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 12 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 14 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 49