Collections
Discover the best community collections!
Collections including paper arxiv:2507.07105
-
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 254 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263
-
yandex/stable-diffusion-3.5-medium-alchemist
Text-to-Image • Updated • 17 • 7 -
Ovis-U1 Technical Report
Paper • 2506.23044 • Published • 61 -
FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model
Paper • 2507.01953 • Published • 18 -
LongAnimation: Long Animation Generation with Dynamic Global-Local Memory
Paper • 2507.01945 • Published • 76
-
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing
Paper • 2503.13434 • Published • 27 -
Edit Transfer: Learning Image Editing via Vision In-Context Relations
Paper • 2503.13327 • Published • 29 -
WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes
Paper • 2503.13435 • Published • 18 -
MediaTek-Research/Llama-Breeze2-8B-Instruct
8B • Updated • 412 • 52
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
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
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 254 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263
-
yandex/stable-diffusion-3.5-medium-alchemist
Text-to-Image • Updated • 17 • 7 -
Ovis-U1 Technical Report
Paper • 2506.23044 • Published • 61 -
FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model
Paper • 2507.01953 • Published • 18 -
LongAnimation: Long Animation Generation with Dynamic Global-Local Memory
Paper • 2507.01945 • Published • 76
-
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing
Paper • 2503.13434 • Published • 27 -
Edit Transfer: Learning Image Editing via Vision In-Context Relations
Paper • 2503.13327 • Published • 29 -
WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes
Paper • 2503.13435 • Published • 18 -
MediaTek-Research/Llama-Breeze2-8B-Instruct
8B • Updated • 412 • 52
-
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
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