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Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Paper • 2305.06131 • Published • 2 -
Perpetual Humanoid Control for Real-time Simulated Avatars
Paper • 2305.06456 • Published • 1 -
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Paper • 2305.10973 • Published • 33 -
LDM3D: Latent Diffusion Model for 3D
Paper • 2305.10853 • Published • 10
Collections
Discover the best community collections!
Collections including paper arxiv:2406.04333
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RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 66 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 126 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87
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You Only Cache Once: Decoder-Decoder Architectures for Language Models
Paper • 2405.05254 • Published • 10 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 605 -
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Paper • 2406.04333 • Published • 37 -
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs
Paper • 2410.16144 • Published • 3
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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published • 1 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 14 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 6
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CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Paper • 2404.03653 • Published • 33 -
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Paper • 2406.04333 • Published • 37 -
GIVT: Generative Infinite-Vocabulary Transformers
Paper • 2312.02116 • Published • 10
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Improving Text-to-Image Consistency via Automatic Prompt Optimization
Paper • 2403.17804 • Published • 16 -
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Paper • 2403.16990 • Published • 25 -
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 30 -
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 11
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 9 -
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 -
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2
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Training-Free Consistent Text-to-Image Generation
Paper • 2402.03286 • Published • 65 -
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
Paper • 2402.04324 • Published • 23 -
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Paper • 2402.05195 • Published • 18 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 9 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 16 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 60 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 73