collaborators

5 papers

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

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…

cs.CV2025

TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting

Liangbin Xie, Daniil Pakhomov, Zhonghao Wang +8

This paper introduces TurboFill, a fast image inpainting model that enhances a few-step text-to-image diffusion model with an inpainting adapter for high-quality and efficient inpa…

cs.CV2024

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…