57 citations · 130 across the 55 of their papers we have counts for
12 papers · 1 filter
CLIM: Contrastive Language-Image Mosaic for Region Representation
Size Wu, Wenwei Zhang, Lumin Xu +3
Detecting objects accurately from a large or open vocabulary necessitates the vision-language alignment on region representations. However, learning such a region-text alignment by…
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing
Yushi Lan, Feitong Tan, Di Qiu +8
We present a novel framework for generating photorealistic 3D human head and subsequently manipulating and reposing them with remarkable flexibility. The proposed approach leverage…
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
Shangchen Zhou, Peiqing Yang, Jianyi Wang +2
Text-based diffusion models have exhibited remarkable success in generation and editing, showing great promise for enhancing visual content with their generative prior. However, ap…
Digital Life Project: Autonomous 3D Characters with Social Intelligence
Zhongang Cai, Jianping Jiang, Zhongfei Qing +20
In this work, we present Digital Life Project, a framework utilizing language as the universal medium to build autonomous 3D characters, who are capable of engaging in social inter…
EdgeSAM: Prompt-In-the-Loop Distillation for SAM
Chong Zhou, Xiangtai Li, Chen Change Loy +1
This paper presents EdgeSAM, an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. O…
VideoBooth: Diffusion-based Video Generation with Image Prompts
Yuming Jiang, Tianxing Wu, Shuai Yang +5
Text-driven video generation witnesses rapid progress. However, merely using text prompts is not enough to depict the desired subject appearance that accurately aligns with users'…
When StyleGAN Meets Stable Diffusion: a Adapter for Personalized Image Generation
Xiaoming Li, Xinyu Hou, Chen Change Loy
Text-to-image diffusion models have remarkably excelled in producing diverse, high-quality, and photo-realistic images. This advancement has spurred a growing interest in incorpora…
PERF: Panoramic Neural Radiance Field from a Single Panorama
Guangcong Wang, Peng Wang, Zhaoxi Chen +3
Neural Radiance Field (NeRF) has achieved substantial progress in novel view synthesis given multi-view images. Recently, some works have attempted to train a NeRF from a single im…
PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation
Jianhui Yu, Hao Zhu, Liming Jiang +3
Recent advances in zero-shot text-to-3D human generation, which employ the human model prior (eg, SMPL) or Score Distillation Sampling (SDS) with pre-trained text-to-image diffusio…
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
Size Wu, Wenwei Zhang, Lumin Xu +4
Open-vocabulary dense prediction tasks including object detection and image segmentation have been advanced by the success of Contrastive Language-Image Pre-training (CLIP). CLIP m…
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection
Shilin Xu, Xiangtai Li, Size Wu +3
Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of classes observed during training. This work introduces a straightforward and efficient strategy…
Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation
Xiangtai Li, Haobo Yuan, Wenwei Zhang +3
Video segmentation aims to segment and track every pixel in diverse scenarios accurately. In this paper, we present Tube-Link, a versatile framework that addresses multiple core ta…