Search Results for author:
Found 7 papers, 4 papers with code
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images
IDF-CR consists of a pixel space cloud removal module (Pixel-CR) and a latent space iterative noise diffusion network (IND).
SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection
The quality, quantity, and diversity of the infrared dataset are critical to the detection of small targets.
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions
Addressing this problem, we modularize a large search space into blocks with small search spaces and develop a family of models with the distilling neural architecture (DNA) techniques.
NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes
Specifically, we introduce cooperative learning between visible and infrared images captured by different sensors.
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
By using a target text prompt for domain adaption, the diffusion model is able to implement zero-shot image-to-image translation advantageously.
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution
On the contrary, simple combinations of classical degradation are used for real-world noise modeling, which led to the VSR model often being violated by out-of-distribution noise.
Open-World Pose Transfer via Sequential Test-Time Adaption
In open-world conditions, the pose transfer task raises various independent signals: OOD appearance and skeleton, which need to be extracted and distributed in speciality.
