New Frontier Of Deep Faking Detection Using CLIP
New Frontier Of Deep Faking Detection Using CLIP
Fake Detection
Image Recognition
GenTron: Diffusion Transformers For Image And Video Generation
GenTron: Diffusion Transformers For Image And Video Generation
Image Generation
Diffusion2GAN: Knowledge Distillation Of Diffusion Models Into Conditional GANs
Diffusion2GAN: Knowledge Distillation Of Diffusion Models Into Conditional GANs
Image Generation
How Frame Interpolation AI Technologies RIFE & IFNet Work And How To Use Them
How Frame Interpolation AI Technologies RIFE & IFNet Work And How To Use Them
Image Generation
AVI-Talking" Generates Natural 3D Talking Faces From Audio
AVI-Talking" Generates Natural 3D Talking Faces From Audio
Face Recognition
Next-generation Deep-fake Detection Technology Using Frequency Masks
Next-generation Deep-fake Detection Technology Using Frequency Masks
Fake Detection
![FreqNet] Generic Dee](https://aisholar.s3.ap-northeast-1.amazonaws.com/media/July2024/freqnet-520x300.png)
FreqNet] Generic Deep Fake Detection By Learning In Frequency Space
FreqNet] Generic Deep Fake Detection By Learning In Frequency Space
Fake Detection
![DIFFUSSM] Attention-](https://aisholar.s3.ap-northeast-1.amazonaws.com/media/July2024/diffussm_1_-520x300.png)
DIFFUSSM] Attention-independent Diffusion Model
DIFFUSSM] Attention-independent Diffusion Model
Image Generation
Self-supervised ViT With Deep Fake Detection
Self-supervised ViT With Deep Fake Detection
Self-supervised Learning
Enhanced Defect Detection Using Tensor CNN
Enhanced Defect Detection Using Tensor CNN
Tensor
Latent Diffusion Models Do Not Necessarily "increase In Size"
Latent Diffusion Models Do Not Necessarily "increase In Size"
Diffusion Model
ScreenAI" Understands Images And Text From Infographics To UI
ScreenAI" Understands Images And Text From Infographics To UI
Large Language Models
![[Segment Anything] Z](https://aisholar.s3.ap-northeast-1.amazonaws.com/media/June2024/segment_anything-520x300.png)
[Segment Anything] Zero-shot Segmentation Model
[Segment Anything] Zero-shot Segmentation Model
Segmentation
Disentangled Diffusion: T2I Model To Extract Multiple Concepts From A Single Image
Disentangled Diffusion: T2I Model To Extract Multiple Concepts From A Single Image
Image Generation
Detecting Fake Images With CLIP: Image-Language Model For Fake Detection
Detecting Fake Images With CLIP: Image-Language Model For Fake Detection
Fake Detection
U-ViT: ViT Backbone For Diffusion Models
U-ViT: ViT Backbone For Diffusion Models
Image Generation
ADD: Diffusion Model With Adversarial Learning And Knowledge Distillation
ADD: Diffusion Model With Adversarial Learning And Knowledge Distillation
Image Generation
ADD: Diffusion Model With Adversarial Learning And Knowledge Distillation
ADD: Diffusion Model With Adversarial Learning And Knowledge Distillation
Image Generation