GitHub

qwen-image VAE decode thinks it needs 24GB of VRAM, it should be less

Potential BugUser is reporting a bug. This should be tested.User is reporting a bug. This should be tested. self.memory_used_decode = lambda shape, dtype: 7000 * shape[3] * shape[4] * (8 * 8) * ...
IEEE

EDSRNet: An Enhanced Decoder Semantic Recovery Network for 2D Medical Image Segmentation

Abstract: In recent years, with the advancement of medical imaging technology, medical image segmentation has played a key role in assisting diagnosis and treatment planning. Current deep ...
The Hindu

IIT Bombay develops AI model to decode satellite images using natural language

Researchers at the Indian Institute of Technology, Bombay (IIT Bombay), have developed an artificial intelligence (AI) model that enables machines to interpret satellite and drone images using ...
IEEE

Lightweight 2D Medical Image Segmentation via a Decoder Using Linear Deformable Convolution and Multi-scale Self-attention

Abstract: Computational resources, which presents a significant challenge in resourceconstrained environments, particularly in developing countries. Consequently, the development of decoding ...
GitHub

issue: Can't properly display base64-encoded images

After the AI finishes its text reply, it will attach an image generated by itself. When you edit the AI's output text, you'll find that the image it sends is in base64 format. AI cannot properly ...