87 citations · 95 across the 8 of their papers we have counts for
11 papers
Simplifying and Improving On-Policy Distillation for Few-Step Diffusion
Jiawei Zhang, Ziyu Wan, Nanye Ma +5
Few-step distillation reduces the sampling cost of diffusion and flow models, but existing approaches often require auxiliary score models or specialized architectures. We show tha…
LACON: Training Text-to-Image Model from Uncurated Data
Zhiyang Liang, Ziyu Wan, Hongyu Liu +4
The success of modern text-to-image generation is largely attributed to massive, high-quality datasets. Currently, these datasets are curated through a filter-first paradigm that a…
FlexTraj: Image-to-Video Generation with Flexible Point Trajectory Control
Zhiyuan Zhang, Can Wang, Dongdong Chen +1
We present FlexTraj, a framework for image-to-video generation with flexible point trajectory control. FlexTraj introduces a unified point-based motion representation that encodes…
I2V3D: Controllable image-to-video generation with 3D guidance
Zhiyuan Zhang, Dongdong Chen, Jing Liao
We present I2V3D, a novel framework for animating static images into dynamic videos with precise 3D control, leveraging the strengths of both 3D geometry guidance and advanced gene…
SGEdit: Bridging LLM with Text2Image Generative Model for Scene Graph-based Image Editing
Zhiyuan Zhang, DongDong Chen, Jing Liao
Scene graphs offer a structured, hierarchical representation of images, with nodes and edges symbolizing objects and the relationships among them. It can serve as a natural interfa…
Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLM
Can Wang, Hongliang Zhong, Menglei Chai +3
Automatic furniture layout is long desired for convenient interior design. Leveraging the remarkable visual reasoning capabilities of multimodal large language models (MLLMs), rece…
Mesh-Guided Neural Implicit Field Editing
Can Wang, Mingming He, Menglei Chai +2
Neural implicit fields have emerged as a powerful 3D representation for reconstructing and rendering photo-realistic views, yet they possess limited editability. Conversely, explic…
PersonMAE: Person Re-Identification Pre-Training with Masked AutoEncoders
Hezhen Hu, Xiaoyi Dong, Jianmin Bao +4
Pre-training is playing an increasingly important role in learning generic feature representation for Person Re-identification (ReID). We argue that a high-quality ReID representat…
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
Xiaoyi Dong, Jianmin Bao, Yinglin Zheng +9
This paper presents a simple yet effective framework MaskCLIP, which incorporates a newly proposed masked self-distillation into contrastive language-image pretraining. The core id…
Semantic Image Synthesis via Diffusion Models
Wengang Zhou, Weilun Wang, Jianmin Bao +4
Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkable success in various image generation tasks compared with Generative Adversarial Nets (GANs). Recent work on…
General Facial Representation Learning in a Visual-Linguistic Manner
Yinglin Zheng, Hao Yang, Ting Zhang +7
How to learn a universal facial representation that boosts all face analysis tasks? This paper takes one step toward this goal. In this paper, we study the transfer performance of…