13 citations · 28 across the 18 of their papers we have counts for
6 papers · 1 filter
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
Mengyu Wang, Henghui Ding, Jun Hao Liew +3
In this paper, we explore a principal way to enhance the quality of object masks produced by different segmentation models. We propose a model-agnostic solution called SegRefiner,…
4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency
Yuyang Yin, Dejia Xu, Zhangyang Wang +2
Aided by text-to-image and text-to-video diffusion models, existing 4D content creation pipelines utilize score distillation sampling to optimize the entire dynamic 3D scene. Howev…
Diffusion for Natural Image Matting
Yihan Hu, Yiheng Lin, Wei Wang +3
We aim to leverage diffusion to address the challenging image matting task. However, the presence of high computational overhead and the inconsistency of noise sampling between the…
PixelLM: Pixel Reasoning with Large Multimodal Model
Zhongwei Ren, Zhicheng Huang, Yunchao Wei +4
While large multimodal models (LMMs) have achieved remarkable progress, generating pixel-level masks for image reasoning tasks involving multiple open-world targets remains a chall…
RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
Mengxue Qu, Yu Wu, Wu Liu +4
Intention-oriented object detection aims to detect desired objects based on specific intentions or requirements. For instance, when we desire to "lie down and rest", we instinctive…
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation
Siyu Jiao, Yunchao Wei, Yaowei Wang +2
Recently, pre-trained vision-language models have been increasingly used to tackle the challenging zero-shot segmentation task. Typical solutions follow the paradigm of first gener…