Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Paper
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2402.17177
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Published
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88
Vision
Video/Image/Gif/etc.
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EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Paper • 2402.17485 • Published • 194 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 46 -
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Paper • 2403.04692 • Published • 40 -
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
Paper • 2311.12793 • Published • 18 -
FlashFace: Human Image Personalization with High-fidelity Identity Preservation
Paper • 2403.17008 • Published • 22 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
Depth Anything V2
Paper • 2406.09414 • Published • 103 -
Vision language models are blind
Paper • 2407.06581 • Published • 84 -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 120 -
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Paper • 2408.01800 • Published • 88 -
Imagen 3
Paper • 2408.07009 • Published • 62 -
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Paper • 2408.08872 • Published • 101 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 133 -
CogVLM2: Visual Language Models for Image and Video Understanding
Paper • 2408.16500 • Published • 57 -
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
Paper • 2409.12576 • Published • 16 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 -
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
Paper • 2502.01061 • Published • 222 -
Textoon: Generating Vivid 2D Cartoon Characters from Text Descriptions
Paper • 2501.10020 • Published • 24 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 212 -
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 157 -
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
Paper • 2411.19108 • Published • 20 -
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 225