-
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 • 19 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 64 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
Collections
Discover the best community collections!
Collections including paper arxiv:2503.20853
-
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Paper • 2501.06186 • Published • 67 -
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
Paper • 2501.02393 • Published • 7 -
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
Paper • 2501.01904 • Published • 32 -
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
Paper • 2412.14711 • Published • 16
-
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 • 19 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 64 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
-
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Paper • 2506.13759 • Published • 44 -
GSAI-ML/LLaDA-8B-Instruct
Text Generation • 8B • Updated • 430k • 364 -
Dream-org/Dream-v0-Base-7B
Text Generation • 8B • Updated • 8.01k • 53 -
Dream-org/Dream-v0-Instruct-7B
Text Generation • 8B • Updated • 80.2k • 160
-
Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts
Paper • 2409.13449 • Published • 12 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 84 -
Unified Multimodal Discrete Diffusion
Paper • 2503.20853 • Published • 9 -
SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion
Paper • 2503.11576 • Published • 177
-
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 • 19 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 64 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
-
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Paper • 2506.13759 • Published • 44 -
GSAI-ML/LLaDA-8B-Instruct
Text Generation • 8B • Updated • 430k • 364 -
Dream-org/Dream-v0-Base-7B
Text Generation • 8B • Updated • 8.01k • 53 -
Dream-org/Dream-v0-Instruct-7B
Text Generation • 8B • Updated • 80.2k • 160
-
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Paper • 2501.06186 • Published • 67 -
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
Paper • 2501.02393 • Published • 7 -
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
Paper • 2501.01904 • Published • 32 -
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
Paper • 2412.14711 • Published • 16
-
Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts
Paper • 2409.13449 • Published • 12 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 84 -
Unified Multimodal Discrete Diffusion
Paper • 2503.20853 • Published • 9 -
SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion
Paper • 2503.11576 • Published • 177
-
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 • 19 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 64 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78