Lizhuang Ma

33

Papers

531

Total Citations

Papers (33)

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection

COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction

MV-Adapter: Multi-View Consistent Image Generation Made Easy

Test-Time Domain Generalization for Face Anti-Spoofing

DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input

Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space

DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding

Continuous Piecewise-Affine Based Motion Model for Image Animation

SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates

3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations

MOS: Modeling Object-Scene Associations in Generalized Category Discovery

Reconstructing In-the-Wild Open-Vocabulary Human-Object Interactions

Interacted Object Grounding in Spatio-Temporal Human-Object Interactions

Pinco: Position-induced Consistent Adapter for Diffusion Transformer in Foreground-conditioned Inpainting

SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation

Stylized-Face: A Million-level Stylized Face Dataset for Face Recognition

PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model

ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image

ATA: Adaptive Transformation Agent for Text-Guided Subject-Position Variable Background Inpainting

Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction

Real-IAD D³: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection

SIGMAN: Scaling 3D Human Gaussian Generation with Millions of Assets

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuning

One-for-More: Continual Diffusion Model for Anomaly Detection

Rethinking Reverse Distillation for Multi-Modal Anomaly Detection

Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing

A Theory of Non-acyclic Generative Flow Networks

Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text

Re-thinking Data Availability Attacks Against Deep Neural Networks

BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model

SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation