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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
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:2508.09131
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
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OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
Paper • 2506.07977 • Published • 41 -
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers
Paper • 2506.07986 • Published • 19 -
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Paper • 2506.06276 • Published • 26 -
Aligning Latent Spaces with Flow Priors
Paper • 2506.05240 • Published • 27
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Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 19 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 97 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 7 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 29
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Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
Paper • 2508.09131 • Published • 16 -
Detect Anything via Next Point Prediction
Paper • 2510.12798 • Published • 46 -
OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes
Paper • 2510.26800 • Published • 21 -
Canvas-to-Image: Compositional Image Generation with Multimodal Controls
Paper • 2511.21691 • Published • 26
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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 • 77
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
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
-
Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 19 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 97 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 7 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 29
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
-
Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
Paper • 2508.09131 • Published • 16 -
Detect Anything via Next Point Prediction
Paper • 2510.12798 • Published • 46 -
OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes
Paper • 2510.26800 • Published • 21 -
Canvas-to-Image: Compositional Image Generation with Multimodal Controls
Paper • 2511.21691 • Published • 26
-
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
Paper • 2506.07977 • Published • 41 -
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers
Paper • 2506.07986 • Published • 19 -
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Paper • 2506.06276 • Published • 26 -
Aligning Latent Spaces with Flow Priors
Paper • 2506.05240 • Published • 27
-
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 • 77