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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 • 32 -
LDM3D: Latent Diffusion Model for 3D
Paper • 2305.10853 • Published • 10
Collections
Discover the best community collections!
Collections including paper arxiv:2408.05939
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Sapiens: Foundation for Human Vision Models
Paper • 2408.12569 • Published • 88 -
ControlNeXt: Powerful and Efficient Control for Image and Video Generation
Paper • 2408.06070 • Published • 52 -
UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization
Paper • 2408.05939 • Published • 13 -
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation
Paper • 2312.13578 • Published • 27
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Imagen 3
Paper • 2408.07009 • Published • 61 -
Generative Photomontage
Paper • 2408.07116 • Published • 19 -
ControlNeXt: Powerful and Efficient Control for Image and Video Generation
Paper • 2408.06070 • Published • 52 -
UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization
Paper • 2408.05939 • Published • 13
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pOps: Photo-Inspired Diffusion Operators
Paper • 2406.01300 • Published • 16 -
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Paper • 2406.06911 • Published • 10 -
Interpreting the Weight Space of Customized Diffusion Models
Paper • 2406.09413 • Published • 18 -
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Paper • 2406.09162 • Published • 13
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 38 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 8 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 15 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 58 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 72