research
∙
06/22/2023
One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation
Recent works have explored the fundamental role of depth estimation in m...
share
research
∙
06/20/2023
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Although previous co-speech gesture generation methods are able to synth...
research
∙
05/04/2023
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts
Image coding for machines (ICM) aims to compress images to support downs...
research
∙
04/13/2023
Inpaint Anything: Segment Anything Meets Image Inpainting
Modern image inpainting systems, despite the significant progress, often...
research
∙
03/27/2023
Learned Image Compression with Mixed Transformer-CNN Architectures
Learned image compression (LIC) methods have exhibited promising progres...
research
∙
02/18/2023
Multistage Spatial Context Models for Learned Image Compression
Recent state-of-the-art Learned Image Compression methods feature spatia...
research
∙
09/03/2022
Semantic Segmentation in Learned Compressed Domain
Most machine vision tasks (e.g., semantic segmentation) are based on ima...
research
∙
08/30/2022
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules
Lossless image compression is an essential research field in image compr...
research
∙
11/07/2020