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cs.CV2024
Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
Rui Chen, Jianfeng Zhang, Yixun Liang +7
Recent 3D content generation pipelines commonly employ Variational Autoencoders (VAEs) to encode shapes into compact latent representations for diffusion-based generation. However,…
cs.CV2024
Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusion
Fan Yang, Jianfeng Zhang, Yichun Shi +7
Benefiting from the rapid development of 2D diffusion models, 3D content generation has witnessed significant progress. One promising solution is to finetune the pre-trained 2D dif…