Collections
Discover the best community collections!
Collections including paper arxiv:2411.07199
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 31 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 25 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 121 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 21
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 38 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
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Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Paper • 2410.10306 • Published • 52 -
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Paper • 2411.05003 • Published • 64 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 23 -
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Paper • 2410.07171 • Published • 41
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Zero-shot Image Editing with Reference Imitation
Paper • 2406.07547 • Published • 31 -
The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
Paper • 2406.10601 • Published • 65 -
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
Paper • 2407.05282 • Published • 12 -
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
Paper • 2407.16982 • Published • 40
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 9 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 16 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 59 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 73
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FreeU: Free Lunch in Diffusion U-Net
Paper • 2309.11497 • Published • 64 -
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
Paper • 2311.12092 • Published • 21 -
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
Paper • 2311.13600 • Published • 42 -
PALP: Prompt Aligned Personalization of Text-to-Image Models
Paper • 2401.06105 • Published • 47