5 citations · 7 across the 12 of their papers we have counts for
12 papers
AffineTok: Semantic Affine Consistency for Diffusion-Friendly Visual Tokenizer
Junqiu Yu, Pandeng Li, Yikai Wang +11
Visual tokenizers increasingly inject semantic supervision into latent spaces to make downstream diffusion easier. Yet how these semantics should be organized to facilitate denoisi…
3D Skew-Normal Splatting
Xiangru Wu, Ke Fan, Yanwei Fu
3D Gaussian Splatting (3DGS) has emerged as a leading representation for real-time novel view synthesis and has been widely adopted in various downstream applications. The core str…
Aligned Stable Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency
Yikai Wang, Junqiu Yu, Chenjie Cao +2
Generative image inpainting can produce realistic results even with large, irregular masks, but existing methods still suffer from two common problems: (1) Unwanted object insertio…
Online Dense Point Tracking with Streaming Memory
Qiaole Dong, Yanwei Fu
Dense point tracking is a challenging task requiring the continuous tracking of every point in the initial frame throughout a substantial portion of a video, even in the presence o…
AnyRefill: A Unified, Data-Efficient Framework for Left-Prompt-Guided Vision Tasks
Ming Xie, Chenjie Cao, Yunuo Cai +3
In this paper, we present a novel Left-Prompt-Guided (LPG) paradigm to address a diverse range of reference-based vision tasks. Inspired by the human creative process, we reformula…
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
Chenjie Cao, Chaohui Yu, Fan Wang +2
Novel View Synthesis (NVS) and 3D generation have recently achieved prominent improvements. However, these works mainly focus on confined categories or synthetic 3D assets, which a…
3D StreetUnveiler with Semantic-aware 2DGS -- a simple baseline
Jingwei Xu, Yikai Wang, Yiqun Zhao +2
Unveiling an empty street from crowded observations captured by in-car cameras is crucial for autonomous driving. However, removing all temporarily static objects, such as stopped…
MemFlow: Optical Flow Estimation and Prediction with Memory
Qiaole Dong, Yanwei Fu
Optical flow is a classical task that is important to the vision community. Classical optical flow estimation uses two frames as input, whilst some recent methods consider multiple…
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
Chenjie Cao, Xinlin Ren, Yanwei Fu
Recent advancements in learning-based Multi-View Stereo (MVS) methods have prominently featured transformer-based models with attention mechanisms. However, existing approaches hav…
Repositioning the Subject within Image
Yikai Wang, Chenjie Cao, Ke Fan +4
Current image manipulation primarily centers on static manipulation, such as replacing specific regions within an image or altering its overall style. In this paper, we introduce a…
Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation
Qiaole Dong, Bo Zhao, Yanwei Fu
Recently, Google proposes DDVM which for the first time demonstrates that a general diffusion model for image-to-image translation task works impressively well on optical flow esti…
Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency
Yikai Wang, Chenjie Cao, Junqiu Yu +3
Recent advances in image inpainting increasingly use generative models to handle large irregular masks. However, these models can create unrealistic inpainted images due to two mai…