Collections
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Collections including paper arxiv:2511.21691
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UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist
Paper • 2511.08521 • Published • 37 -
Black-Box On-Policy Distillation of Large Language Models
Paper • 2511.10643 • Published • 46 -
Depth Anything 3: Recovering the Visual Space from Any Views
Paper • 2511.10647 • Published • 92 -
VGGT: Visual Geometry Grounded Transformer
Paper • 2503.11651 • Published • 34
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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 • 32
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Canvas-to-Image: Compositional Image Generation with Multimodal Controls
Paper • 2511.21691 • Published • 32 -
Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
Paper • 2511.21678 • Published • 10 -
ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction
Paper • 2511.20937 • Published • 15
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Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation
Paper • 2511.14993 • Published • 222 -
Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks
Paper • 2511.15065 • Published • 74 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 105 -
Canvas-to-Image: Compositional Image Generation with Multimodal Controls
Paper • 2511.21691 • Published • 32
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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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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
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Canvas-to-Image: Compositional Image Generation with Multimodal Controls
Paper • 2511.21691 • Published • 32 -
Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
Paper • 2511.21678 • Published • 10 -
ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction
Paper • 2511.20937 • Published • 15
-
Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation
Paper • 2511.14993 • Published • 222 -
Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks
Paper • 2511.15065 • Published • 74 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 105 -
Canvas-to-Image: Compositional Image Generation with Multimodal Controls
Paper • 2511.21691 • Published • 32
-
UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist
Paper • 2511.08521 • Published • 37 -
Black-Box On-Policy Distillation of Large Language Models
Paper • 2511.10643 • Published • 46 -
Depth Anything 3: Recovering the Visual Space from Any Views
Paper • 2511.10647 • Published • 92 -
VGGT: Visual Geometry Grounded Transformer
Paper • 2503.11651 • Published • 34
-
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 • 32
-
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