Tali Dekel

papers

4,108

total citations

papers (17)

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

NEURIPS 2023arXiv

236

citations

Teaching CLIP to Count to Ten

ICCV 2023arXiv

171

citations

SceneScape: Text-Driven Consistent Scene Generation

NEURIPS 2023arXiv

162

citations

Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer

CVPR 2024arXiv

100

citations

DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video

ECCV 2024arXiv

citations

Omnimatte: Associating Objects and Their Effects in Video

CVPR 2021arXiv

citations

Semantic Pyramid for Image Generation

CVPR 2020arXiv

citations

Neural Congealing: Aligning Images to a Joint Semantic Atlas

CVPR 2023arXiv

citations

What’s in the Image? A Deep-Dive into the Vision of Vision Language Models

CVPR 2025arXiv

citations

Diverse Generation from a Single Video Made Possible

ECCV 2022arXiv

citations

Generative Omnimatte: Learning to Decompose Video into Layers

CVPR 2025arXiv

citations

Associating Objects and Their Effects in Video through Coordination Games

NEURIPS 2022

citations

Tali Dekel

papers (17)

Imagic: Text-Based Real Image Editing With Diffusion Models

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

Text2LIVE: Text-Driven Layered Image and Video Editing

SpeedNet: Learning the Speediness in Videos

Splicing ViT Features for Semantic Appearance Transfer

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Teaching CLIP to Count to Ten

SceneScape: Text-Driven Consistent Scene Generation

Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer

DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video

Omnimatte: Associating Objects and Their Effects in Video

Semantic Pyramid for Image Generation

Neural Congealing: Aligning Images to a Joint Semantic Atlas

What’s in the Image? A Deep-Dive into the Vision of Vision Language Models

Diverse Generation from a Single Video Made Possible

Generative Omnimatte: Learning to Decompose Video into Layers

Associating Objects and Their Effects in Video through Coordination Games

papers (17)

Imagic: Text-Based Real Image Editing With Diffusion Models

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

Text2LIVE: Text-Driven Layered Image and Video Editing

SpeedNet: Learning the Speediness in Videos

Splicing ViT Features for Semantic Appearance Transfer

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Teaching CLIP to Count to Ten

SceneScape: Text-Driven Consistent Scene Generation

Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer

DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video

Omnimatte: Associating Objects and Their Effects in Video

Semantic Pyramid for Image Generation

Neural Congealing: Aligning Images to a Joint Semantic Atlas

What’s in the Image? A Deep-Dive into the Vision of Vision Language Models

Diverse Generation from a Single Video Made Possible

Generative Omnimatte: Learning to Decompose Video into Layers

Associating Objects and Their Effects in Video through Coordination Games