Követés
Zekun Qi
Cím
Hivatkozott rá
Hivatkozott rá
Év
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Z Qi, R Dong, G Fan, Z Ge, X Zhang, K Ma, L Yi
ICML 2023, 2023
1252023
Dreamllm: Synergistic multimodal comprehension and creation
R Dong, C Han, Y Peng, Z Qi, Z Ge, J Yang, L Zhao, J Sun, H Zhou, H Wei, ...
ICLR 2024 (Spotlight), 2023
1122023
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
R Dong, Z Qi, L Zhang, J Zhang, J Sun, Z Ge, L Yi, K Ma
ICLR 2023, 2022
972022
Shapellm: Universal 3d object understanding for embodied interaction
Z Qi, R Dong, S Zhang, H Geng, C Han, Z Ge, L Yi, K Ma
ECCV 2024, 2024
402024
Xiangwen Kong, Xiangyu Zhang, Kaisheng Ma, and Li Yi. Dreamllm: Synergistic multimodal comprehension and creation
R Dong, C Han, Y Peng, Z Qi, Z Ge, J Yang, L Zhao, J Sun, H Zhou, H Wei
arXiv preprint arXiv:2309.11499 3, 2023
302023
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
Z Qi, M Yu, R Dong, K Ma
NeurIPS 2023, 2023
142023
Dreambench++: A human-aligned benchmark for personalized image generation
Y Peng, Y Cui, H Tang, Z Qi, R Dong, J Bai, C Han, Z Ge, X Zhang, ST Xia
ICLR 2025, 2024
132024
Point-gcc: Universal self-supervised 3d scene pre-training via geometry-color contrast
G Fan, Z Qi, W Shi, K Ma
ACMMM 2024, 2023
132023
Xiangwen Kong, Xiangyu Zhang, Kaisheng Ma, and Li Yi. 2024. Dream-LLM: Synergistic multimodal comprehension and creation
R Dong, C Han, Y Peng, Z Qi, Z Ge, J Yang, L Zhao, J Sun, H Zhou, H Wei
The Twelfth International Conference on Learning Representations. https …, 2023
72023
Positional Prompt Tuning for Efficient 3D Representation Learning
S Zhang, Z Qi, R Dong, X Bai, X Wei
arXiv preprint arXiv:2408.11567, 2024
2024
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Cikkek 1–10