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Collections including paper arxiv:2502.12154

Depth Anything V2

Paper • 2406.09414 • Published Jun 13, 2024 • 103
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13, 2024 • 51
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6, 2024 • 39
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17, 2025 • 55
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16, 2025 • 32
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17, 2025 • 22

Tracking Any Object Amodally

Paper • 2312.12433 • Published Dec 19, 2023 • 12
Flow-GRPO: Training Flow Matching Models via Online RL

Paper • 2505.05470 • Published May 8, 2025 • 88
CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

Paper • 2503.18886 • Published Mar 24, 2025 • 24
Diffusion Models without Classifier-free Guidance

Paper • 2502.12154 • Published Feb 17, 2025 • 8

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 • 78

Generative Modeling Approachs

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

Paper • 2412.10208 • Published Dec 13, 2024 • 19
Normalizing Flows are Capable Generative Models

Paper • 2412.06329 • Published Dec 9, 2024 • 11
A Noise is Worth Diffusion Guidance

Paper • 2412.03895 • Published Dec 5, 2024 • 29
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published Jan 2, 2025 • 44

generative-model-training

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Paper • 2310.00426 • Published Sep 30, 2023 • 61
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

Paper • 2310.16656 • Published Oct 25, 2023 • 54
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

Paper • 2310.16825 • Published Oct 25, 2023 • 36
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Paper • 2401.11605 • Published Jan 21, 2024 • 23

Depth Anything V2

Paper • 2406.09414 • Published Jun 13, 2024 • 103
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13, 2024 • 51
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6, 2024 • 39
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

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 • 78

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17, 2025 • 55
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16, 2025 • 32
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17, 2025 • 22

Generative Modeling Approachs

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

Paper • 2412.10208 • Published Dec 13, 2024 • 19
Normalizing Flows are Capable Generative Models

Paper • 2412.06329 • Published Dec 9, 2024 • 11
A Noise is Worth Diffusion Guidance

Paper • 2412.03895 • Published Dec 5, 2024 • 29
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published Jan 2, 2025 • 44

Tracking Any Object Amodally

Paper • 2312.12433 • Published Dec 19, 2023 • 12
Flow-GRPO: Training Flow Matching Models via Online RL

Paper • 2505.05470 • Published May 8, 2025 • 88
CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

Paper • 2503.18886 • Published Mar 24, 2025 • 24
Diffusion Models without Classifier-free Guidance

Paper • 2502.12154 • Published Feb 17, 2025 • 8

generative-model-training

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Paper • 2310.00426 • Published Sep 30, 2023 • 61
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

Paper • 2310.16656 • Published Oct 25, 2023 • 54
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

Paper • 2310.16825 • Published Oct 25, 2023 • 36
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Paper • 2401.11605 • Published Jan 21, 2024 • 23

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