Amir Habibian
Amir Habibian
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Mobile Video Diffusion
Video diffusion models have achieved impressive realism and controllability but are limited by high computational demands, restricting …
Haitam Ben Yahia
,
Denis Korzhenkov
,
Ioannis Lelekas
,
Amir Ghodrati
,
Amir Habibian
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MoViE: Mobile Diffusion for Video Editing
Recent progress in diffusion-based video editing has shown remarkable potential for practical applications. However, these methods …
Adil Karjauv
,
Noor Fathima
,
Ioannis Lelekas
,
Fatih Porikli
,
Amir Ghodrati
,
Amir Habibian
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Generative Location Modeling for Spatially Aware Object Insertion
Generative models have become a powerful tool for image editing tasks, including object insertion. However, these methods often lack …
Jooyeol Yun
,
Davide Abati
,
Mohamed Omran
,
Jaegul Choo
,
Amir Habibian
,
Auke Wiggers
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Object-Centric Diffusion for Efficient Video Editing
Diffusion-based video editing have reached impressive quality and can transform either the global style, local structure, and …
Kumara Kahatapitiya
,
Adil Karjauv
,
Davide Abati
,
Fatih Porikli
,
Yuki Asano
,
Amir Habibian
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Clockwork Diffusion: Efficient Generation With Model-Step Distillation
This work aims to improve the efficiency of text-to-image diffusion models. While diffusion models use computationally expensive …
Amir Habibian
,
Amir Ghodrati
,
Noor Fathima
,
Guillaume Sautiere
,
Risheek Garrepalli
,
Fatih Porikli
,
Jens Petersen
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VaLID: Variable-Length Input Diffusion for Novel View Synthesis
Novel View Synthesis (NVS), which tries to produce a realistic image at the target view given source view images and their …
Shijie Li
,
Farhad G Zanjani
,
Haitam Ben Yahia
,
Yuki M Asano
,
Juergen Gall
,
Amir Habibian
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ResQ: Residual Quantization for Video Perception
This paper accelerates video perception, such as semantic segmentation and human pose estimation, by levering cross-frame redundancies. …
Davide Abati
,
Haitam Ben Yahia
,
Markus Nagel
,
Amir Habibian
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Skip-Attention: Improving Vision Transformers by Paying Less Attention
This work aims to improve the efficiency of vision transformers (ViT). While ViTs use computationally expensive self-attention …
Shashanka Venkataramanan
,
Amir Ghodrati
,
Yuki M Asano
,
Fatih Porikli
,
Amir Habibian
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Delta Distillation for Efficient Video Processing
This paper aims to accelerate video stream processing, such as object detection and semantic segmentation, by leveraging the temporal …
Amir Habibian
,
Haitam Ben Yahia
,
Davide Abati
,
Efstratios Gavves
,
Fatih Porikli
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SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection
High-resolution images are widely adopted for high-performance object detection in videos. However, processing high-resolution inputs …
Babak Ehteshami Bejnordi
,
Amir Habibian
,
Fatih Porikli
,
Amir Ghodrati
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