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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 • 17 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 60 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 74
Collections
Discover the best community collections!
Collections including paper arxiv:2501.12224
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The Geometry of Tokens in Internal Representations of Large Language Models
Paper • 2501.10573 • Published • 8 -
TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space
Paper • 2501.12224 • Published • 46 -
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
Paper • 2501.18511 • Published • 14 -
Are Vision Language Models Texture or Shape Biased and Can We Steer Them?
Paper • 2403.09193 • Published • 8
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MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
Paper • 2501.02955 • Published • 40 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 99 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 81 -
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Paper • 2501.09781 • Published • 24
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Video Creation by Demonstration
Paper • 2412.09551 • Published • 9 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 45 -
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 71 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38
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LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
Paper • 2412.09622 • Published • 8 -
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
Paper • 2412.04146 • Published • 22 -
Learning Flow Fields in Attention for Controllable Person Image Generation
Paper • 2412.08486 • Published • 32 -
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
Paper • 2412.05148 • Published • 11