1.2k citations · 1.5k across the 81 of their papers we have counts for
10 papers · 2 filters
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
Peng Lu, Tao Jiang, Yining Li +3
Real-time multi-person pose estimation presents significant challenges in balancing speed and precision. While two-stage top-down methods slow down as the number of people in the i…
DSR-Diff: Depth Map Super-Resolution with Diffusion Model
Yuan Shi, Bin Xia, Rui Zhu +2
Color-guided depth map super-resolution (CDSR) improve the spatial resolution of a low-quality depth map with the corresponding high-quality color map, benefiting various applicati…
Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video
Xiuzhe Wu, Pengfei Hu, Yang Wu +6
Synthesizing realistic videos according to a given speech is still an open challenge. Previous works have been plagued by issues such as inaccurate lip shape generation and poor im…
CLIP-based Synergistic Knowledge Transfer for Text-based Person Retrieval
Yating Liu, Yaowei Li, Zimo Liu +3
Text-based Person Retrieval (TPR) aims to retrieve the target person images given a textual query. The primary challenge lies in bridging the substantial gap between vision and lan…
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
Bin Xia, Yulun Zhang, Shiyin Wang +6
The Diffusion Model (DM) has emerged as the SOTA approach for image synthesis. However, the existing DM cannot perform well on some image-to-image translation (I2I) tasks. Differen…
Double-chain Constraints for 3D Human Pose Estimation in Images and Videos
Hongbo Kang, Yong Wang, Mengyuan Liu +3
Reconstructing 3D poses from 2D poses lacking depth information is particularly challenging due to the complexity and diversity of human motion. The key is to effectively model the…
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
Ruofan Zhang, Jinjin Gu, Haoyu Chen +3
Super-resolution (SR) techniques designed for real-world applications commonly encounter two primary challenges: generalization performance and restoration accuracy. We demonstrate…
EgoVSR: Towards High-Quality Egocentric Video Super-Resolution
Yichen Chi, Junhao Gu, Jiamiao Zhang +2
Due to the limitations of capture devices and scenarios, egocentric videos frequently have low visual quality, mainly caused by high compression and severe motion blur. With the in…
DiffIR: Efficient Diffusion Model for Image Restoration
Bin Xia, Yulun Zhang, Shiyin Wang +5
Diffusion model (DM) has achieved SOTA performance by modeling the image synthesis process into a sequential application of a denoising network. However, different from image synth…
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection
Yanjun Liu, Wenming Yang
Indoor 3D object detection is an essential task in single image scene understanding, impacting spatial cognition fundamentally in visual reasoning. Existing works on 3D object dete…