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Collections including paper arxiv:2503.14492

3D World / Scene

LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Paper • 2311.13384 • Published Nov 22, 2023 • 53
Disentangled 3D Scene Generation with Layout Learning

Paper • 2402.16936 • Published Feb 26, 2024 • 12
WonderWorld: Interactive 3D Scene Generation from a Single Image

Paper • 2406.09394 • Published Jun 13, 2024 • 3
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step

Paper • 2504.01956 • Published Apr 2 • 41

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 44
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Paper • 2401.09985 • Published Jan 18, 2024 • 18
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

Paper • 2401.09962 • Published Jan 18, 2024 • 9
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution

Paper • 2401.10404 • Published Jan 18, 2024 • 10
ActAnywhere: Subject-Aware Video Background Generation

Paper • 2401.10822 • Published Jan 19, 2024 • 13

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published Feb 17 • 20
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?

Paper • 2503.05333 • Published Mar 7 • 8
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

Paper • 2503.15558 • Published Mar 18 • 50

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

3D World / Scene

LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Paper • 2311.13384 • Published Nov 22, 2023 • 53
Disentangled 3D Scene Generation with Layout Learning

Paper • 2402.16936 • Published Feb 26, 2024 • 12
WonderWorld: Interactive 3D Scene Generation from a Single Image

Paper • 2406.09394 • Published Jun 13, 2024 • 3
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step

Paper • 2504.01956 • Published Apr 2 • 41

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published Feb 17 • 20
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?

Paper • 2503.05333 • Published Mar 7 • 8
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

Paper • 2503.15558 • Published Mar 18 • 50

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 44
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

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

WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Paper • 2401.09985 • Published Jan 18, 2024 • 18
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

Paper • 2401.09962 • Published Jan 18, 2024 • 9
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution

Paper • 2401.10404 • Published Jan 18, 2024 • 10
ActAnywhere: Subject-Aware Video Background Generation

Paper • 2401.10822 • Published Jan 19, 2024 • 13

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