Jie Zhou

Streaming Visual Geometry Transformer

Latent Diffusion Model without Variational Autoencoder

R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation

DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers

Astra: General Interactive World Model with Autoregressive Denoising

VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution

MoRe4D: Joint 3D Motion Generation and Geometry Reconstruction for 4D Synthesis from a Single Image

EmbodiedGS: Reconstruct Unified Embodied Representation from RGB Stream

SparseCodeQ: Extreme Sparse Coding Quantization for Large Vision-Language Models

Quantize-then-Rectify: Accelerating VQ-VAE Training in Latent Feature Space

Terra: Explorable Native 3D World Model with Point Latents

NeXT-IMDL: Build Benchmark for NeXT-Generation Image Manipulation Detection & Localization

Moaw: Unleashing Motion Awareness for Video Diffusion Models

READ: End-to-End Autonomous Driving Made Safer with Efficient Reinforcement Learning

ManiCoG: Training-Free Improvement for GUI Grounding via Manipulation Chains

OGGSplat: Open-Vocabulary Gaussian Growing for Expanded Field-of-View

MoCtrl4D: Precise and Efficient Motion-Guided 4D Content Generation

End-to-End Unified Dense 3D Geometry and Motion Perception

EmbodiedSAM: Online Segment Any 3D Thing in Real Time

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory

Efficient Sparse Single-stage 3D Visual Grounding with Text-guided Pruning

InstaRevive: One-Step Image Enhancement via Dynamic Score Matching

V2M: Visual 2-Dimensional Mamba for Image Representation Learning

GlobalMamba: Global Image Serialization for Vision Mamba

SlimLLaVA: Automatic Pruning for Large Vision-language Models

Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

From Forgery to Authenticity: Image Anti-Forensics via Reconstruction and Artefact Elimination