2026

Efficient Image Synthesis with Sphere Latent Encoder
Efficient Image Synthesis with Sphere Latent Encoder

Tung Do, Thuan Hoang Nguyen, Hao Li

Conference on Neural Information Processing Systems (NeurIPS)

An efficient few-step image generator inspired by another recent work called Sphere Encoder.

Efficient Image Synthesis with Sphere Latent Encoder

Tung Do, Thuan Hoang Nguyen, Hao Li

Conference on Neural Information Processing Systems (NeurIPS)

An efficient few-step image generator inspired by another recent work called Sphere Encoder.

2025

LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations
LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations

Tung Do, Thuan Hoang Nguyen, Anh Tran, Rang Nguyen, Binh-Son Hua

AI for Content Creation Workshop (CVPR)

A hybrid 3D representation of volume and triplane for efficient novel-view synthesis from few views.

LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations

Tung Do, Thuan Hoang Nguyen, Anh Tran, Rang Nguyen, Binh-Son Hua

AI for Content Creation Workshop (CVPR)

A hybrid 3D representation of volume and triplane for efficient novel-view synthesis from few views.

2024

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher

Trung Dao, Thuan Hoang Nguyen*, Thanh Le*, Duc Vu*, Khoi nguyen, Cuong Pham, Anh Tran (* equal contribution)

European Conference on Computer Vision (ECCV)

An improved SwiftBrush that makes the one-step diffusion student beat its multi-step teacher.

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher

Trung Dao, Thuan Hoang Nguyen*, Thanh Le*, Duc Vu*, Khoi nguyen, Cuong Pham, Anh Tran (* equal contribution)

European Conference on Computer Vision (ECCV)

An improved SwiftBrush that makes the one-step diffusion student beat its multi-step teacher.

SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation

Thuan Hoang Nguyen, Anh Tran

Conference on Computer Vision and Pattern Recognition (CVPR)

An image-free distillation method that transforms multi-step text-to-image diffusion models into one-step generators.

SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation

Thuan Hoang Nguyen, Anh Tran

Conference on Computer Vision and Pattern Recognition (CVPR)

An image-free distillation method that transforms multi-step text-to-image diffusion models into one-step generators.

2023

Anti-DreamBooth: Protecting Users from Personalized Text-to-Image Synthesis
Anti-DreamBooth: Protecting Users from Personalized Text-to-Image Synthesis

Thanh Le*, Hao Phung*, Thuan Hoang Nguyen*, Quan Dao*, Ngoc Tran, Anh Tran (* equal contribution)

International Conference on Computer Vision (ICCV)

A security booth safeguards your privacy against malicious threats of DreamBooth by preventing it from synthesizing photo-realistic images of you.

Anti-DreamBooth: Protecting Users from Personalized Text-to-Image Synthesis

Thanh Le*, Hao Phung*, Thuan Hoang Nguyen*, Quan Dao*, Ngoc Tran, Anh Tran (* equal contribution)

International Conference on Computer Vision (ICCV)

A security booth safeguards your privacy against malicious threats of DreamBooth by preventing it from synthesizing photo-realistic images of you.

Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis

Thuan Hoang Nguyen*, Thanh Le*, Anh Tran (* equal contribution)

Conference on Computer Vision and Pattern Recognition (CVPR)

An efficient and geometry-invariant generator for synthesizing high-resolution images without using spatial convolutions or a coarse-to-fine design.

Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis

Thuan Hoang Nguyen*, Thanh Le*, Anh Tran (* equal contribution)

Conference on Computer Vision and Pattern Recognition (CVPR)

An efficient and geometry-invariant generator for synthesizing high-resolution images without using spatial convolutions or a coarse-to-fine design.