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Collections including paper arxiv:2503.19325

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
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

Tokenization methods and language modelling

Continuous Autoregressive Language Models

Paper • 2510.27688 • Published Oct 31 • 70
Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space

Paper • 2505.13181 • Published May 19 • 9
Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation

Paper • 2503.16430 • Published Mar 20 • 34

Video generation

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73
CoMP: Continual Multimodal Pre-training for Vision Foundation Models

Paper • 2503.18931 • Published Mar 24 • 30
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 61
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction

Paper • 2507.15852 • Published Jul 21 • 38

video-prediction

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73

Video Generation

Seedance 1.0: Exploring the Boundaries of Video Generation Models

Paper • 2506.09113 • Published Jun 10 • 104
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Paper • 2506.08009 • Published Jun 9 • 30
Seeing Voices: Generating A-Roll Video from Audio with Mirage

Paper • 2506.08279 • Published Jun 9 • 27
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement

Paper • 2506.07848 • Published Jun 9 • 4

Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation

Paper • 2502.20388 • Published Feb 27 • 16
Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing

Paper • 2503.19385 • Published Mar 25 • 34
Packing Input Frame Context in Next-Frame Prediction Models for Video Generation

Paper • 2504.12626 • Published Apr 17 • 51

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73
Seedance 1.0: Exploring the Boundaries of Video Generation Models

Paper • 2506.09113 • Published Jun 10 • 104
Discrete Diffusion in Large Language and Multimodal Models: A Survey

Paper • 2506.13759 • Published Jun 16 • 43
Video models are zero-shot learners and reasoners

Paper • 2509.20328 • Published Sep 24 • 98

Temporal Preference Optimization for Long-Form Video Understanding

Paper • 2501.13919 • Published Jan 23 • 23
M3: 3D-Spatial MultiModal Memory

Paper • 2503.16413 • Published Mar 20 • 15
Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
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

video-prediction

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73

Tokenization methods and language modelling

Continuous Autoregressive Language Models

Paper • 2510.27688 • Published Oct 31 • 70
Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space

Paper • 2505.13181 • Published May 19 • 9
Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation

Paper • 2503.16430 • Published Mar 20 • 34

Video Generation

Seedance 1.0: Exploring the Boundaries of Video Generation Models

Paper • 2506.09113 • Published Jun 10 • 104
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Paper • 2506.08009 • Published Jun 9 • 30
Seeing Voices: Generating A-Roll Video from Audio with Mirage

Paper • 2506.08279 • Published Jun 9 • 27
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement

Paper • 2506.07848 • Published Jun 9 • 4

Video generation

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73

Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation

Paper • 2502.20388 • Published Feb 27 • 16
Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing

Paper • 2503.19385 • Published Mar 25 • 34
Packing Input Frame Context in Next-Frame Prediction Models for Video Generation

Paper • 2504.12626 • Published Apr 17 • 51

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73
Seedance 1.0: Exploring the Boundaries of Video Generation Models

Paper • 2506.09113 • Published Jun 10 • 104
Discrete Diffusion in Large Language and Multimodal Models: A Survey

Paper • 2506.13759 • Published Jun 16 • 43
Video models are zero-shot learners and reasoners

Paper • 2509.20328 • Published Sep 24 • 98

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73
CoMP: Continual Multimodal Pre-training for Vision Foundation Models

Paper • 2503.18931 • Published Mar 24 • 30
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 61
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction

Paper • 2507.15852 • Published Jul 21 • 38

Temporal Preference Optimization for Long-Form Video Understanding

Paper • 2501.13919 • Published Jan 23 • 23
M3: 3D-Spatial MultiModal Memory

Paper • 2503.16413 • Published Mar 20 • 15
Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Paper • 2503.19325 • Published Mar 25 • 73

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