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Collections including paper arxiv:2503.07677

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17, 2024 • 10
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18, 2024 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 77

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 301
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

The GAN is dead; long live the GAN! A Modern GAN Baseline

Paper • 2501.05441 • Published Jan 9 • 95
PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity

Paper • 2503.07677 • Published Mar 10 • 86
OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting

Paper • 2503.08677 • Published Mar 11 • 29
Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space

Paper • 2503.09419 • Published Mar 12 • 6

Generation Quality Enhancement

VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control

Paper • 2412.20800 • Published Dec 30, 2024 • 11
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models

Paper • 2501.06751 • Published Jan 12 • 32
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Paper • 2501.09732 • Published Jan 16 • 71
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation

Paper • 2501.09755 • Published Jan 16 • 36

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 28
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Image Generation

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Paper • 2506.07977 • Published Jun 9 • 41
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers

Paper • 2506.07986 • Published Jun 9 • 19
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Paper • 2506.06276 • Published Jun 6 • 23
Aligning Latent Spaces with Flow Priors

Paper • 2506.05240 • Published Jun 5 • 27

ML Optimization Papers

FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16 • 27
Tensor Product Attention Is All You Need

Paper • 2501.06425 • Published Jan 11 • 89
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training

Paper • 2501.06842 • Published Jan 12 • 16
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7 • 52

My reading list!

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response

Paper • 2412.14922 • Published Dec 19, 2024 • 88
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Progressive Multimodal Reasoning via Active Retrieval

Paper • 2412.14835 • Published Dec 19, 2024 • 73
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Paper • 2501.09732 • Published Jan 16 • 71

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17, 2024 • 10
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18, 2024 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 77

Image Generation

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Paper • 2506.07977 • Published Jun 9 • 41
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers

Paper • 2506.07986 • Published Jun 9 • 19
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Paper • 2506.06276 • Published Jun 6 • 23
Aligning Latent Spaces with Flow Priors

Paper • 2506.05240 • Published Jun 5 • 27

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 301
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

ML Optimization Papers

FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16 • 27
Tensor Product Attention Is All You Need

Paper • 2501.06425 • Published Jan 11 • 89
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training

Paper • 2501.06842 • Published Jan 12 • 16
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7 • 52

The GAN is dead; long live the GAN! A Modern GAN Baseline

Paper • 2501.05441 • Published Jan 9 • 95
PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity

Paper • 2503.07677 • Published Mar 10 • 86
OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting

Paper • 2503.08677 • Published Mar 11 • 29
Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space

Paper • 2503.09419 • Published Mar 12 • 6

My reading list!

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response

Paper • 2412.14922 • Published Dec 19, 2024 • 88
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Progressive Multimodal Reasoning via Active Retrieval

Paper • 2412.14835 • Published Dec 19, 2024 • 73
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Paper • 2501.09732 • Published Jan 16 • 71

Generation Quality Enhancement

VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control

Paper • 2412.20800 • Published Dec 30, 2024 • 11
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models

Paper • 2501.06751 • Published Jan 12 • 32
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Paper • 2501.09732 • Published Jan 16 • 71
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation

Paper • 2501.09755 • Published Jan 16 • 36

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 28
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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