activity
20212024
most citedComposer: Creative and Controllable Image Synthesis with Composable Conditions

52 citations · 137 across the 20 of their papers we have counts for

collaborators

20 papers

cs.CV20241 cited

Zero-shot Image Editing with Reference Imitation

Xi Chen, Yutong Feng, Mengting Chen +5

Image editing serves as a practical yet challenging task considering the diverse demands from users, where one of the hardest parts is to precisely describe how the edited image sh…

cs.CV20244 cited

InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

Zhiheng Liu, Hao Ouyang, Qiuyu Wang +7

3D Gaussians have recently emerged as an efficient representation for novel view synthesis. This work studies its editability with a particular focus on the inpainting task, which…

cs.CV2024

SpatialTracker: Tracking Any 2D Pixels in 3D Space

Yuxi Xiao, Qianqian Wang, Shangzhan Zhang +4

Recovering dense and long-range pixel motion in videos is a challenging problem. Part of the difficulty arises from the 3D-to-2D projection process, leading to occlusions and disco…

cs.CV2024

DreamLIP: Language-Image Pre-training with Long Captions

Kecheng Zheng, Yifei Zhang, Wei Wu +5

Language-image pre-training largely relies on how precisely and thoroughly a text describes its paired image. In practice, however, the contents of an image can be so rich that wel…

cs.CV20245 cited

GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Yinghao Xu, Zifan Shi, Wang Yifan +5

We introduce GRM, a large-scale reconstructor capable of recovering a 3D asset from sparse-view images in around 0.1s. GRM is a feed-forward transformer-based model that efficientl…

cs.CV20234 cited

Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone

Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang +5

Parameter-efficient tuning has become a trend in transferring large-scale foundation models to downstream applications. Existing methods typically embed some light-weight tuners in…