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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 • 13 -
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:2410.06244
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DrawingSpinUp: 3D Animation from Single Character Drawings
Paper • 2409.08615 • Published • 21 -
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Paper • 2410.06244 • Published • 19 -
EMO2: End-Effector Guided Audio-Driven Avatar Video Generation
Paper • 2501.10687 • Published • 14 -
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm
Paper • 2502.02358 • Published • 19
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Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Paper • 2305.06131 • Published • 2 -
Perpetual Humanoid Control for Real-time Simulated Avatars
Paper • 2305.06456 • Published • 1 -
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Paper • 2305.10973 • Published • 37 -
LDM3D: Latent Diffusion Model for 3D
Paper • 2305.10853 • Published • 12
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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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Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Paper • 2410.06244 • Published • 19 -
Towards Best Practices for Open Datasets for LLM Training
Paper • 2501.08365 • Published • 64 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
Paper • 2501.18511 • Published • 20
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Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Paper • 2410.10306 • Published • 57 -
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Paper • 2411.05003 • Published • 72 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 27 -
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Paper • 2410.07171 • Published • 44
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SEED-Story: Multimodal Long Story Generation with Large Language Model
Paper • 2407.08683 • Published • 26 -
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Paper • 2410.06244 • Published • 19 -
Unbounded: A Generative Infinite Game of Character Life Simulation
Paper • 2410.18975 • Published • 38 -
Generative AI for Cel-Animation: A Survey
Paper • 2501.06250 • Published • 13
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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 • 13 -
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
-
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Paper • 2410.06244 • Published • 19 -
Towards Best Practices for Open Datasets for LLM Training
Paper • 2501.08365 • Published • 64 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
Paper • 2501.18511 • Published • 20
-
DrawingSpinUp: 3D Animation from Single Character Drawings
Paper • 2409.08615 • Published • 21 -
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Paper • 2410.06244 • Published • 19 -
EMO2: End-Effector Guided Audio-Driven Avatar Video Generation
Paper • 2501.10687 • Published • 14 -
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm
Paper • 2502.02358 • Published • 19
-
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Paper • 2410.10306 • Published • 57 -
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Paper • 2411.05003 • Published • 72 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 27 -
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Paper • 2410.07171 • Published • 44
-
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Paper • 2305.06131 • Published • 2 -
Perpetual Humanoid Control for Real-time Simulated Avatars
Paper • 2305.06456 • Published • 1 -
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Paper • 2305.10973 • Published • 37 -
LDM3D: Latent Diffusion Model for 3D
Paper • 2305.10853 • Published • 12
-
SEED-Story: Multimodal Long Story Generation with Large Language Model
Paper • 2407.08683 • Published • 26 -
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Paper • 2410.06244 • Published • 19 -
Unbounded: A Generative Infinite Game of Character Life Simulation
Paper • 2410.18975 • Published • 38 -
Generative AI for Cel-Animation: A Survey
Paper • 2501.06250 • Published • 13
-
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