activity
20222026
most citedDiffusion Model-Based Image Editing: A Survey

100 citations · 105 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026

MagicFight: Personalized Martial Arts Combat Video Generation

Jiancheng Huang, Mingfu Yan, Songyan Chen +2

Amid the surge in generic text-to-video generation, the field of personalized human video generation has witnessed notable advancements, primarily concentrated on single-person sce…

cs.CV2025

VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service

Xiasi Wang, Tianliang Yao, Simin Chen +5

Vision-Language Models (VLMs) have demonstrated great potential in real-world applications. While existing research primarily focuses on improving their accuracy, the efficiency re…

cs.CV2025

Leveraging Contrast Information for Efficient Document Shadow Removal

Yifan Liu, Jiancheng Huang, Na Liu +3

Document shadows are a major obstacle in the digitization process. Due to the dense information in text and patterns covered by shadows, document shadow removal requires specialize…

cs.CV2024

Dual-Schedule Inversion: Training- and Tuning-Free Inversion for Real Image Editing

Jiancheng Huang, Yi Huang, Jianzhuang Liu +3

Text-conditional image editing is a practical AIGC task that has recently emerged with great commercial and academic value. For real image editing, most diffusion model-based metho…

cs.CV2024

DIVE: Taming DINO for Subject-Driven Video Editing

Yi Huang, Wei Xiong, He Zhang +4

Building on the success of diffusion models in image generation and editing, video editing has recently gained substantial attention. However, maintaining temporal consistency and…

cs.CV2024

MagicEraser: Erasing Any Objects via Semantics-Aware Control

Fan Li, Zixiao Zhang, Yi Huang +4

The traditional image inpainting task aims to restore corrupted regions by referencing surrounding background and foreground. However, the object erasure task, which is in increasi…

cs.CV2024

MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections

Jiayue Liu, Xiao Tang, Freeman Cheng +9

3D Gaussian Splatting showcases notable advancements in photo-realistic and real-time novel view synthesis. However, it faces challenges in modeling mirror reflections, which exhib…

cs.CV2024★ 100 cited

Diffusion Model-Based Image Editing: A Survey

Yi Huang, Jiancheng Huang, Yifan Liu +7

Denoising diffusion models have emerged as a powerful tool for various image generation and editing tasks, facilitating the synthesis of visual content in an unconditional or input…

cs.CV2023★ 1 cited

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning

Jiaxi Lv, Yi Huang, Mingfu Yan +6

Recent advances in text-to-video generation have harnessed the power of diffusion models to create visually compelling content conditioned on text prompts. However, they usually en…

cs.CV2023★ 1 cited

Seal2Real: Prompt Prior Learning on Diffusion Model for Unsupervised Document Seal Data Generation and Realisation

Mingfu Yan, Jiancheng Huang, Shifeng Chen

Seal-related tasks in document processing-such as seal segmentation, authenticity verification, seal removal, and text recognition under seals-hold substantial commercial importanc…

cs.CV2023★ 1 cited

WaveDM: Wavelet-Based Diffusion Models for Image Restoration

Yi Huang, Jiancheng Huang, Jianzhuang Liu +5

Latest diffusion-based methods for many image restoration tasks outperform traditional models, but they encounter the long-time inference problem. To tackle it, this paper proposes…

cs.CV2022★ 2 cited

V4d: voxel for 4d novel view synthesis

Wanshui Gan, Hongbin Xu, Yi Huang +2

Neural radiance fields have made a remarkable breakthrough in the novel view synthesis task at the 3D static scene. However, for the 4D circumstance (e.g., dynamic scene), the perf…