MICHAEL GHARBI
20 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
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Keywords
image generation
(6)
diffusion model
(5)
generative model
(4)
knowledge distillation
(3)
self-supervised learning
(3)
distribution matching
(2)
vector graphics
(2)
representation learning
(2)
high-resolution image
(2)
image restoration
(2)
image synthesis
(2)
image denoising
(2)
one-step generation
(2)
model distillation
(1)
action recognition
(1)
pose estimation
(1)
few-shot learning
(1)
transformer architecture
(1)
image harmonization
(1)
domain adaptation
(1)
Papers
Improved Distribution Matching Distillation for Fast Image Synthesis
NIPS 2024
Learning Subject-Aware Cropping by Outpainting Professional Photos
AAAI 2024
One-step Diffusion with Distribution Matching Distillation
CVPR 2024
Lazy Diffusion Transformer for Interactive Image Editing
ECCV 2024
Editable Image Elements for Controllable Synthesis
ECCV 2024
VecFusion: Vector Font Generation with Diffusion
CVPR 2024
Image Neural Field Diffusion Models
CVPR 2024
Self-Supervised Burst Super-Resolution
ICCV 2023
Semi-Supervised Parametric Real-World Image Harmonization
CVPR 2023
Domain Expansion of Image Generators
CVPR 2023
"Spotting Temporally Precise, Fine-Grained Events in Video"
ECCV 2022
Any-Resolution Training for High-Resolution Image Synthesis
ECCV 2022
Im2Vec: Synthesizing Vector Graphics Without Vector Supervision
CVPR 2021
Spatially-Adaptive Pixelwise Networks for Fast Image Translation
CVPR 2021
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
CVPR 2021
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
ICCV 2021
MarioNette: Self-Supervised Sprite Learning
NIPS 2021
Modulated Periodic Activations for Generalizable Local Functional Representations
ICCV 2021
Basis Prediction Networks for Effective Burst Denoising With Large Kernels
CVPR 2020
A Dataset of Multi-Illumination Images in the Wild
ICCV 2019