几篇论文实现代码:
《Mastering Memory Tasks with World Models》(ICLR 2024) GitHub: github.com/chandar-lab/Recall2Imagine
《Composed Video Retrieval via Enriched Context and Discriminative Embeddings》(CVPR 2024) GitHub: github.com/OmkarThawakar/composed-video-retrieval
《Logit Standardization in Knowledge Distillation》(CVPR 2024) GitHub: github.com/sunshangquan/logit-standardization-KD
《Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models》(CVPR 2024) GitHub: github.com/YBZh/DMN [fig4]
《Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting》(2024) GitHub: github.com/ingra14m/Specular-Gaussians
《AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animations》(2024) GitHub: github.com/Zejun-Yang/AniPortrait [fig1]
《Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance》(2024) GitHub: github.com/yegcjs/mixinglaws
《RGBD GS-ICP SLAM》(2024) GitHub: github.com/Lab-of-AI-and-Robotics/GS_ICP_SLAM
《AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation》(2024) GitHub: github.com/c-yn/AdaIR [fig2]
《Sotopia-π: Interactive Learning of Socially Intelligent Language Agents》(2024) GitHub: github.com/sotopia-lab/sotopia-pi [fig3]
《Visual CoT: Unleashing Chain-of-Thought Reasoning in the Multi-Modal Language Model》(2024) GitHub: github.com/deepcs233/Visual-CoT [fig5]
《LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models》(2024) GitHub: github.com/42Shawn/LLaVA-PruMerge
《GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks》(2024) GitHub: github.com/alibaba/GraphTranslator [fig6]
《Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance》(2024) GitHub: github.com/fudan-generative-vision/champ
《Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions》(2024) GitHub: github.com/ywyeli/Place3D
《TC4D: Trajectory-Conditioned Text-to-4D Generation》(2024) GitHub: github.com/sherwinbahmani/tc4d
《Mastering Memory Tasks with World Models》(ICLR 2024) GitHub: github.com/chandar-lab/Recall2Imagine
《Composed Video Retrieval via Enriched Context and Discriminative Embeddings》(CVPR 2024) GitHub: github.com/OmkarThawakar/composed-video-retrieval
《Logit Standardization in Knowledge Distillation》(CVPR 2024) GitHub: github.com/sunshangquan/logit-standardization-KD
《Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models》(CVPR 2024) GitHub: github.com/YBZh/DMN [fig4]
《Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting》(2024) GitHub: github.com/ingra14m/Specular-Gaussians
《AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animations》(2024) GitHub: github.com/Zejun-Yang/AniPortrait [fig1]
《Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance》(2024) GitHub: github.com/yegcjs/mixinglaws
《RGBD GS-ICP SLAM》(2024) GitHub: github.com/Lab-of-AI-and-Robotics/GS_ICP_SLAM
《AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation》(2024) GitHub: github.com/c-yn/AdaIR [fig2]
《Sotopia-π: Interactive Learning of Socially Intelligent Language Agents》(2024) GitHub: github.com/sotopia-lab/sotopia-pi [fig3]
《Visual CoT: Unleashing Chain-of-Thought Reasoning in the Multi-Modal Language Model》(2024) GitHub: github.com/deepcs233/Visual-CoT [fig5]
《LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models》(2024) GitHub: github.com/42Shawn/LLaVA-PruMerge
《GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks》(2024) GitHub: github.com/alibaba/GraphTranslator [fig6]
《Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance》(2024) GitHub: github.com/fudan-generative-vision/champ
《Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions》(2024) GitHub: github.com/ywyeli/Place3D
《TC4D: Trajectory-Conditioned Text-to-4D Generation》(2024) GitHub: github.com/sherwinbahmani/tc4d
几篇论文实现代码:
《Differentiable Euler Characteristic Transforms for Shape Classification》(ICLR 2024) GitHub: github.com/aidos-lab/DECT
《Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling》(ICLR 2024) GitHub: github.com/lujiarui/Str2Str [fig4]
《DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models》(ICLR 2024) GitHub: github.com/CownowAn/DiffusionNAG [fig6]
《M-BEV: Masked BEV Perception for Robust Autonomous Driving》(AAAI 2024) GitHub: github.com/Sranc3/M-BEV
《Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance》(2024) GitHub: github.com/fudan-generative-vision/champ [fig1]
《LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement》(2024) GitHub: github.com/SqueezeAILab/LLM2LLM [fig2]
《PlaceNav: Topological Navigation through Place Recognition》(2024) GitHub: github.com/lasuomela/PlaceNav
《Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting》(2024) GitHub: github.com/isl-org/objects-with-lighting
《RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition》(2024) GitHub: github.com/Liuziyu77/RAR [fig3]
《Neural Garment Dynamics via Manifold-Aware Transformers》(2024) GitHub: github.com/PeizhuoLi/manifold-aware-transformers
《PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model》(2024) GitHub: github.com/zamling/PSALM [fig5]
《Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding》(2024) GitHub: github.com/ldkong1205/Calib3D
《Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting》(2024) GitHub: github.com/zhengzhang01/Pixel-GS
《LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues》(2024) GitHub: github.com/apple/ml-lucid-datagen
《Differentiable Euler Characteristic Transforms for Shape Classification》(ICLR 2024) GitHub: github.com/aidos-lab/DECT
《Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling》(ICLR 2024) GitHub: github.com/lujiarui/Str2Str [fig4]
《DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models》(ICLR 2024) GitHub: github.com/CownowAn/DiffusionNAG [fig6]
《M-BEV: Masked BEV Perception for Robust Autonomous Driving》(AAAI 2024) GitHub: github.com/Sranc3/M-BEV
《Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance》(2024) GitHub: github.com/fudan-generative-vision/champ [fig1]
《LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement》(2024) GitHub: github.com/SqueezeAILab/LLM2LLM [fig2]
《PlaceNav: Topological Navigation through Place Recognition》(2024) GitHub: github.com/lasuomela/PlaceNav
《Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting》(2024) GitHub: github.com/isl-org/objects-with-lighting
《RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition》(2024) GitHub: github.com/Liuziyu77/RAR [fig3]
《Neural Garment Dynamics via Manifold-Aware Transformers》(2024) GitHub: github.com/PeizhuoLi/manifold-aware-transformers
《PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model》(2024) GitHub: github.com/zamling/PSALM [fig5]
《Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding》(2024) GitHub: github.com/ldkong1205/Calib3D
《Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting》(2024) GitHub: github.com/zhengzhang01/Pixel-GS
《LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues》(2024) GitHub: github.com/apple/ml-lucid-datagen
#上医校园活动推荐# 【复旦大学2024届毕业生春季医学(药)类毕业生专场招聘会邀请你来】
⌚时间:
2024年3月22日(周五)13:00-16:30
[举手]地点:
复旦大学枫林校区综合篮球馆
[加油]参会同学小贴士:
1. 本场招聘会参会单位近170家,涵盖医院、疾控中心、卫生监督、基层公共卫生服务中心等医疗卫生机构,医药、医疗器械、生物科技、医学投资等相关行业用人单位,请参会同学尽量安排好时间准时参加,勿错失良机;
2. 招聘会对参会同学开放时间为13:00,请各位同学携带好本人应聘材料有序入场;
3. 为使现场求职更有针对性,建议参会同学提前从学校就业信息网(career.fudan.edu.cn)了解用人单位展位分布和招聘计划;
4. 招聘现场专设简历门诊咨询台,有简历修改需求的同学可前往咨询;
5. 招聘会现场用人单位较多,现场可能较为拥挤,请同学们上下楼梯注意安全,现场保持有序、安静,与用人单位洽谈完毕请尽快离场。如遇突发情况,请及时往出入口疏散,并听从工作人员引导。
⌚时间:
2024年3月22日(周五)13:00-16:30
[举手]地点:
复旦大学枫林校区综合篮球馆
[加油]参会同学小贴士:
1. 本场招聘会参会单位近170家,涵盖医院、疾控中心、卫生监督、基层公共卫生服务中心等医疗卫生机构,医药、医疗器械、生物科技、医学投资等相关行业用人单位,请参会同学尽量安排好时间准时参加,勿错失良机;
2. 招聘会对参会同学开放时间为13:00,请各位同学携带好本人应聘材料有序入场;
3. 为使现场求职更有针对性,建议参会同学提前从学校就业信息网(career.fudan.edu.cn)了解用人单位展位分布和招聘计划;
4. 招聘现场专设简历门诊咨询台,有简历修改需求的同学可前往咨询;
5. 招聘会现场用人单位较多,现场可能较为拥挤,请同学们上下楼梯注意安全,现场保持有序、安静,与用人单位洽谈完毕请尽快离场。如遇突发情况,请及时往出入口疏散,并听从工作人员引导。
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