collaborators

7 papers

cs.CV2026

Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion

Zhenghong Zhou, Xiaohang Zhan, Zhiqin Chen +8

Recent video diffusion models have made remarkable strides in visual quality, yet precise, fine-grained control remains a key bottleneck that limits practical customizability for c…

cs.CV2026

SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation

Shufan Li, Jiuxiang Gu, Kangning Liu +3

Recent advancements in discrete image generation showed that scaling the VQ codebook size significantly improves reconstruction fidelity. However, training generative models with a…

cs.CV2025

PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement

Haitian Zheng, Yuan Yao, Yongsheng Yu +3

Latent Diffusion Models (LDMs) have markedly advanced the quality of image inpainting and local editing. However, the inherent latent compression often introduces pixel-level incon…

cs.CV2025

HBridge: H-Shape Bridging of Heterogeneous Experts for Unified Multimodal Understanding and Generation

Xiang Wang, Zhifei Zhang, He Zhang +11

Recent unified models integrate understanding experts (e.g., LLMs) with generative experts (e.g., diffusion models), achieving strong multimodal performance. However, recent advanc…

cs.CV2025

Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction

Yuanhao Cai, He Zhang, Kai Zhang +12

Existing feedforward image-to-3D methods mainly rely on 2D multi-view diffusion models that cannot guarantee 3D consistency. These methods easily collapse when changing the prompt…

cs.CV2025

ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration

Yongsheng Yu, Haitian Zheng, Zhifei Zhang +7

Recent progress in generative models has significantly improved image restoration capabilities, particularly through powerful diffusion models that offer remarkable recovery of sem…