Chen, Jiacheng

21 publications

ICCV 2025 AutoScape: Geometry-Consistent Long-Horizon Scene Generation Jiacheng Chen, Ziyu Jiang, Mingfu Liang, Bingbing Zhuang, Jong-Chyi Su, Sparsh Garg, Ying Wu, Manmohan Chandraker

NeurIPS 2025 CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering Zhengqing Wang, Yuefan Wu, Jiacheng Chen, Fuyang Zhang, Yasutaka Furukawa

AAAI 2025 ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong

ICLR 2025 MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Ziyan Jiang, Wang Zhu, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen

ICLR 2025 Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong

NeurIPS 2025 PairEdit: Learning Semantic Variations for Exemplar-Based Image Editing Haoguang Lu, Jiacheng Chen, Zhenguo Yang, Aurele Tohokantche Gnanha, Fu Lee Wang, Li Qing, Xudong Mao

ICLR 2025 PuzzleFusion++: Auto-Agglomerative 3D Fracture Assembly by Denoise and Verify Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa

ECCV 2024 MVDiffHD: A Dense High-Resolution Multi-View Diffusion Model for Single or Sparse-View 3D Object Reconstruction Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan

ECCV 2024 MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping Jiacheng Chen, Yuefan Wu, Jiaqi Tan, Hang Ma, Yasutaka Furukawa

AAAI 2024 Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction Jiacheng Chen, Jiawei Jiang, Fei Wu, Jianwei Zheng

TMLR 2024 PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling Yuan Liu, Songyang Zhang, Jiacheng Chen, Kai Chen, Dahua Lin

NeurIPSW 2024 Reasoning in Reasoning: A Hierarchical Framework for Better and Faster Neural Theorem Proving Ziyu Ye, Jiacheng Chen, Jonathan Light, Yifei Wang, Jiankai Sun, Mac Schwager, Philip Torr, Guohao Li, Yuxin Chen, Kaiyu Yang, Yisong Yue, Ziniu Hu

ICLR 2024 SYMBOL: Generating Flexible Black-Box Optimizers Through Symbolic Equation Learning Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong

ICCV 2023 Improving Pixel-Based MIM by Reducing Wasted Modeling Capability Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, Dahua Lin

NeurIPS 2023 MVDiffusion: Enabling Holistic Multi-View Image Generation with Correspondence-Aware Diffusion Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa

NeurIPS 2023 MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao

NeurIPS 2023 PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models Jiacheng Chen, Ruizhi Deng, Yasutaka Furukawa

CVPR 2022 HEAT: Holistic Edge Attention Transformer for Structured Reconstruction Jiacheng Chen, Yiming Qian, Yasutaka Furukawa

ECCVW 2022 MoQuad: Motion-Focused Quadruple Construction for Video Contrastive Learning Yuan Liu, Jiacheng Chen, Hao Wu

CVPR 2021 Learning the Best Pooling Strategy for Visual Semantic Embedding Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang

NeurIPS 2018 Probabilistic Neural Programmed Networks for Scene Generation Zhiwei Deng, Jiacheng Chen, Yifang Fu, Greg Mori