Haoge Deng

I am now a visiting student at the NLPR, Institute of Automation, Chinese Academy of Sciences (CASIA), supervised by Prof Zhaoxiang Zhang. I am also a final-year MPhil. student at BUPT in China, supervised by Prof. Yonggang Qi. Prior to that, I obtained my Bachelor's degree in Electronics Information Science and Technology at BUPT in 2022.

My research interests revolve around computer visionn and generative models , with a particular focus on image generation , video generation , and 3D content creation .

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Research

Representative papers are highlighted. * indicates equal contribution, # indicates corresponding author.

NOVA is a non-quantized autoregressive model that enables efficient video generation by reformulating the video creation as frame-by-frame and set-by-set predictions.

See3D is a scalable visual-conditional MVD model for open-world 3D creation, which can be trained on web-scale video collections without camera pose annotations.

GeoDream is a 3D generation method that integrates explicit generalized 3D priors with 2D diffusion priors to enhance the capability of obtaining unambiguous 3D consistent geometric structures without sacrificing diversity or fidelity.

SketchKnitter is a method that achieves vectorized sketch generation by reversing the stroke deformation process using a diffusion model learned from real sketches, enabling the creation of higher quality, visually appealing sketches with fewer sampling steps.

Education

Experiences

Academic Services

• Conference Reviewer: ICASSP'{24,25}, ICCV'{25}
  
• Workshop Reviewer: ICLR'{25}-DeLTa.
  

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