Jiangning Zhang

46

Papers

452

Total Citations

Papers (46)

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

Point Cloud Mamba: Point Cloud Learning via State Space Model

A Diffusion-Based Framework for Multi-Class Anomaly Detection

FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis

Towards Language-Driven Video Inpainting via Multimodal Large Language Models

PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning

LLaVA-KD: A Framework of Distilling Multimodal Large Language Models

OSV: One Step is Enough for High-Quality Image to Video Generation

SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis

Explore In-Context Segmentation via Latent Diffusion Models

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation

Decouple and Track: Benchmarking and Improving Video Diffusion Transformers For Motion Transfer

CustAny: Customizing Anything from A Single Example

GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model

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

Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution

MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection

RFNet: Recurrent Forward Network for Dense Point Cloud Completion

Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption

Rethinking Mobile Block for Efficient Attention-based Models

Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection

Learning Global-aware Kernel for Image Harmonization

DTVNet: Dynamic Time-lapse Video Generation via Single Still Image

Learning to Train a Point Cloud Reconstruction Network without Matching

Resolution-Free Point Cloud Sampling Network with Data Distillation

Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping

High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning

SVFR: A Unified Framework for Generalized Video Face Restoration

Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction

Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing

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

Sonic: Shifting Focus to Global Audio Perception in Portrait Animation

MobileMamba: Lightweight Multi-Receptive Visual Mamba Network

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

Rethinking Reverse Distillation for Multi-Modal Anomaly Detection

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization

FReeNet: Multi-Identity Face Reenactment

Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation

Region-Aware Face Swapping

Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking

Multimodal Industrial Anomaly Detection via Hybrid Fusion

Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model