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Apr 22
Apr 22Collections
Discover the best community collections!
Collections including paper arxiv:2504.06232
Collection by
Apr 25
Apr 25-
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
Paper • 2504.02160 • Published • 37 -
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Paper • 2504.06232 • Published • 13 -
Cobra: Efficient Line Art COlorization with BRoAder References
Paper • 2504.12240 • Published • 27 -
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
Paper • 2504.17502 • Published • 55
Collection by
3 days ago
3 days ago-
FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 28 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 43 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 54 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12
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Apr 9
Apr 9Collection by
Oct 20
Oct 20-
Causal Diffusion Transformers for Generative Modeling
Paper • 2412.12095 • Published • 23 -
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
Paper • 2412.09619 • Published • 28 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 -
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28
Collection by
1 day ago
1 day ago-
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 • 77
Collection by
Apr 22
Apr 22Collection by
Apr 9
Apr 9Collection by
Apr 25
Apr 25-
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
Paper • 2504.02160 • Published • 37 -
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Paper • 2504.06232 • Published • 13 -
Cobra: Efficient Line Art COlorization with BRoAder References
Paper • 2504.12240 • Published • 27 -
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
Paper • 2504.17502 • Published • 55
Collection by
Oct 20
Oct 20-
Causal Diffusion Transformers for Generative Modeling
Paper • 2412.12095 • Published • 23 -
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
Paper • 2412.09619 • Published • 28 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 -
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28
Collection by
3 days ago
3 days ago-
FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 28 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 43 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 54 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12
Collection by
1 day ago
1 day ago-
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 • 77