2 papers
cs.CV2024
COMOGen: A Controllable Text-to-3D Multi-object Generation Framework
Shaorong Sun, Shuchao Pang, Yazhou Yao +1
The controllability of 3D object generation methods is achieved through input text. Existing text-to-3D object generation methods primarily focus on generating a single object base…
cs.CV2024
Foster Adaptivity and Balance in Learning with Noisy Labels
Mengmeng Sheng, Zeren Sun, Tao Chen +3
Label noise is ubiquitous in real-world scenarios, posing a practical challenge to supervised models due to its effect in hurting the generalization performance of deep neural netw…