10 citations · 10 across the 3 of their papers we have counts for
4 papers
DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data
Ruiqi Wu, Xinjie Wang, Liu Liu +6
We present DIPO, a novel framework for the controllable generation of articulated 3D objects from a pair of images: one depicting the object in a resting state and the other in an…
Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing
Jiayi Fu, Siyu Liu, Zikun Liu +5
We propose a novel Iterative Predictor-Critic Code Decoding framework for real-world image dehazing, abbreviated as IPC-Dehaze, which leverages the high-quality codebook prior enca…
Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration
Chu-Jie Qin, Rui-Qi Wu, Zikun Liu +4
All-in-one image restoration aims to handle multiple degradation types using one model. This paper proposes a simple pipeline for all-in-one blind image restoration to Restore Anyt…
LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation
Ruiqi Wu, Liangyu Chen, Tong Yang +3
With the impressive progress in diffusion-based text-to-image generation, extending such powerful generative ability to text-to-video raises enormous attention. Existing methods ei…