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Discover the best community collections!

Collections including paper arxiv:2410.13754

about 18 hours ago

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3 • 31
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17 • 24
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27 • 121
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17 • 20

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9 • 41
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17 • 33
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16 • 13
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5 • 60

about 16 hours ago

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24 • 11
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27 • 30

MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures

Paper • 2410.13754 • Published 5 days ago • 70

VGGHeads: A Large-Scale Synthetic Dataset for 3D Human Heads

Paper • 2407.18245 • Published Jul 25 • 7
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark

Paper • 2409.15041 • Published 29 days ago • 12
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models

Paper • 2410.09732 • Published 10 days ago • 53
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures

Paper • 2410.13754 • Published 5 days ago • 70

about 16 hours ago

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 45
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21 • 28

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