Ali Thabet

papers

1,476

total citations

papers (14)

Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model

CVPR 2023arXiv

133

citations

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

NEURIPS 2021arXiv

citations

MovieCuts: A New Dataset and Benchmark for Cut Type Recognition

ECCV 2022arXiv

citations

Re-ReND: Real-Time Rendering of NeRFs across Devices

ICCV 2023arXiv

citations

VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids

NEURIPS 2022arXiv

citations

Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models

AAAI 2025arXiv

citations

Gabor Layers Enhance Network Robustness

ECCV 2020arXiv

citations

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models

ICML 2024arXiv

citations

FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute

CVPR 2025arXiv

citations

Autoregressive Distillation of Diffusion Transformers

CVPR 2025arXiv

citations

Ali Thabet

papers (14)

G-TAD: Sub-Graph Localization for Temporal Action Detection

PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks

SGAS: Sequential Greedy Architecture Search

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds

Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

MovieCuts: A New Dataset and Benchmark for Cut Type Recognition

Re-ReND: Real-Time Rendering of NeRFs across Devices

VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids

Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models

Gabor Layers Enhance Network Robustness

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models

FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute

Autoregressive Distillation of Diffusion Transformers

papers (14)

G-TAD: Sub-Graph Localization for Temporal Action Detection

PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks

SGAS: Sequential Greedy Architecture Search

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds

Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

MovieCuts: A New Dataset and Benchmark for Cut Type Recognition

Re-ReND: Real-Time Rendering of NeRFs across Devices

VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids

Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models

Gabor Layers Enhance Network Robustness

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models

FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute

Autoregressive Distillation of Diffusion Transformers