Top-Conf Figure Gallery banner # 🎨 Top-Conf Figure Gallery ### 顶会论文主图灵感画廊 · ICLR · ICML · NeurIPS · CVPR · ACL · AAAI · 2023–2026 ### 💖 寻求赞助与资源支持 · Sponsors welcome **让科研绘图灵感持续开放，让开源工具走得更远。** 欢迎个人与机构提供 **资金赞助、模型 API 额度、GPU 算力或云资源**，支持画廊维护、FigureForge 开发与效果验证。也欢迎通过贡献代码、推荐论文和分享项目支持我们！ **🤝 洽谈赞助 / 提供资源支持：[939123836@qq.com](mailto:939123836@qq.com)** Help keep this project open and growing. Financial sponsorship, model API credits, GPU compute, and cloud resources are welcome. Please email us to discuss support. Search, filter and lightbox demo ### ✨ FigureForge 生图成品 · Generated examples 以下是画廊 FigureForge 的实际生图示例。导出可编辑所有细节。
FigureForge 生成的机器人策略与执行论文主图
机器人策略与执行
Robot policy & execution		 FigureForge 生成的层级工作记忆论文主图
层级工作记忆
Hierarchical working memory
FigureForge 生成的工作记忆系统论文主图
工作记忆系统 · 从输入到结果
Memory system overview		 FigureForge 生成的 LLM 迎合行为因果分析论文主图
LLM 迎合行为因果分析
Internal causes of sycophancy in LLMs
[![Website](https://img.shields.io/website?down_color=lightgrey&label=Gallery&up_color=blue&up_message=online&url=https://qwdwqfwq.github.io/topconf-paper-figure-gallery/)](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/) ![Figures](https://img.shields.io/badge/figures-3452-orange) ![Best/Oral/Spotlight](https://img.shields.io/badge/Best%C2%B7Oral%C2%B7Spotlight-26%C2%B7616%C2%B7950-gold) ![Venues](https://img.shields.io/badge/venues-ICLR·ICML·NeurIPS·CVPR·ACL·AAAI-purple) ![Years](https://img.shields.io/badge/years-2023--2026-success) [![Python](https://img.shields.io/badge/Python-3.10%2B-3776AB?logo=python&logoColor=white)](requirements.txt) [![License: MIT](https://img.shields.io/badge/code%20license-MIT-green.svg)](LICENSE) [![Images license](https://img.shields.io/badge/images-CC%20BY%20(attribution)-yellow.svg)](IMAGES_POLICY.md) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](CONTRIBUTING.md) ![Last commit](https://img.shields.io/github/last-commit/qwdwqfwq/topconf-paper-figure-gallery) ![Stars](https://img.shields.io/github/stars/qwdwqfwq/topconf-paper-figure-gallery?style=social) 点右上角给个 Star · Star us on GitHub See how well-designed papers lay out Figure 1 before you draw your own. A searchable, filterable gallery of Figure 1 / teaser figures. Static HTML/CSS/JS, no build, works offline. 画论文主图前，先看顶会论文怎么排版。 一个可搜索、可筛选的 Figure 1 / Teaser 画廊。纯静态、零构建、可离线打开。 [🌐 Live gallery 在线画廊](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/) · [🛠️ FigureForge 画图](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/forge) · [🎬 Demo video 演示视频](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/docs/demo.html) · [📚 Methodology 数据与方法](docs/METHODOLOGY.md) · [⚖️ Image policy 版权 / 下架](IMAGES_POLICY.md) · [🤝 Contributing 贡献指南](CONTRIBUTING.md)
## 🎨 算力赞助伙伴｜Infistar.cc 无限星河

Infistar.cc 无限星河大模型 API 服务平台，点击专属推广链接注册

感谢 **Infistar.cc 无限星河** 为本项目提供大模型 API 算力支持！ - 🔬 **主流模型一站接入**：聚合 Claude、OpenAI、DeepSeek 等模型，支持图表代码生成（TikZ / Python）、论文润色与图表解析。 - 📉 **降低科研成本**：部分模型价格低至官方 0.1 折，倍率以平台实时公示为准。 - ⚡ **高并发支持**：支持开票；模型可用性与限流规则以平台实时状态为准。 - 🎁 **专属体验礼**：通过[专属推广链接](https://www.infistar.cc/register?aff=RZ4MDTRU&ref_source=link)注册，可领取 5 元体验额度与首充特惠，具体以活动页面为准。 --- ## English **Top-Conf Figure Gallery** collects Figure 1 / teaser figures (concept diagrams, system frameworks, pipelines, architectures, benchmark overviews) from six ML/AI conferences, 2023–2026. It is a design reference, not a paper ranking. Each card links to the source paper and records venue, year, authors and a visual-pattern tag. - Filter by venue, year, acceptance tier and visual pattern; masonry layout with a lightbox. - Oral, Spotlight and Best/Outstanding-paper figures carry gold / silver / red badges (ICLR, ICML, NeurIPS 2023–2026). - Full-text search over titles and authors, e.g. `DPO`, `robot`, `gaussian`, `agent`. - Every figure is hand-reviewed. Over 25 heuristic rules first remove default matplotlib charts, plain tables, GUI screenshots and unlabeled photo sets; a person then checks the rest page by page. See [METHODOLOGY.md](docs/METHODOLOGY.md). - Pure static site, no backend or build; clone and double-click. - Open, reproducible pipeline: proceedings index → PDF download → Figure 1 crop → quality scoring → dHash de-duplication → manual review. ### 🛠️ FigureForge Beta FigureForge drafts your Figure 1 from the gallery: describe your paper, and 3,452 top-conference figures provide the layout reference. No sign-up, no server; it runs in your browser. **[Try FigureForge →](forge/index.html)**

FigureForge walkthrough: describe paper, retrieve references, generate bitmap draft

**[▶ Full demo video, 1:58 with audio](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/docs/demo.html)** [![▶ FigureForge demo video](assets/figureforge-demo-poster.jpg)](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/docs/demo.html) 1. **Describe the paper.** Paste the title and abstract, upload the PDF (the Step 1 model reads it and summarizes the sections matching overview / architecture / pipeline / results), or type one sentence giving the "input → method → output" story. 2. **Pick a pattern.** `framework` for system or multi-agent overviews, `pipeline` for end-to-end flows, `architecture` for internal model structure, `conceptual` for visual metaphors; also `teaser` and `taxonomy`. 3. **Tick references.** A CLIP + BM25 hybrid search ranks all 3,452 figures; the score is shown on each card. Tick at least 4 same-pattern cards for two-stage mode, or 2–3 for direct mode. ![Pick references](forge/tutorial/02_pick_refs.png) 4. **Two stages: summarize, then generate.** A vision model reads the picks, distils their common layout, elements, palette and hierarchy, selects 2–3 representative figures, and only then generates. ![Two-stage analysis](forge/tutorial/03_analyze.png?v=20261002) 5. **Choose a mode, add your key, download.** SVG mode gives accurate, editable text (Figma / draw.io / Illustrator); bitmap mode gives a publication-style layout to check in PPT / Figma. The key is stored only in your browser. > A bare prompt in a general chatbot returns a generic flowchart. FigureForge grounds the draft in top-conference figures, so it keeps the panel grid, comparative narrative and restrained palette of a paper figure. > ![Comparison](forge/tutorial/compare.png?v=20261002) - Runs entirely in your browser: the CLIP model and gallery index are bundled locally; paper content and keys stay on your device and the key goes only to the provider you choose. - Bring your own key. Presets: Volcengine Ark, SiliconFlow, Zhipu, DeepSeek, OpenAI, Moonshot, Qwen, Tencent Hunyuan, Anthropic, and any OpenAI-compatible relay. - The model list updates itself: the bundled manifest refreshes on load and the provider's live `/models` list is fetched once a key is entered. Anthropic has no list endpoint; Hunyuan and Anthropic block browser CORS, so use a relay for those. - Scope: a high-quality first draft for the Figure 1 genre. Check text and numbers before submission. - Open source forever, no paid version. MIT-licensed; the key pays the model provider directly. PRs are welcome for new papers, venues and label fixes, and the gallery is refreshed yearly with new proceedings. ### Add a paper or figure Open a **[Suggest a figure](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/issues/new?template=add-figure-request.md)** issue with the paper link — no coding needed. For PRs, [CONTRIBUTING.md](CONTRIBUTING.md) gives the metadata format and quality bar. New venues such as CHI / RSS / CoRL are welcome. Images belong to their authors and publishers; see [IMAGES_POLICY.md](IMAGES_POLICY.md) for the educational-use and 72-hour takedown policy. --- ## 中文 **顶会论文主图灵感画廊**收录六大 ML/AI 顶会 2023–2026 的 Figure 1 / Teaser：概念图、系统框架、流程图、架构图、任务全景。它是排版设计参考，不是论文排名。每张卡片链接原文，并记录会议、年份、作者和视觉模式标签。 - 按会议、年份、录取等级、视觉模式筛选；瀑布流布局，点击看灯箱大图。 - Oral / Spotlight / Best（杰出论文）主图带金、银、红角标（ICLR、ICML、NeurIPS 2023–2026）。 - 标题、作者、关键词全文搜索，如 `DPO`、`robot`、`gaussian`、`agent`。 - 每张图人工复核：25 条以上规则先剔除默认 matplotlib 图、纯表格、GUI 截图和无标签照片墙，再逐页人工检查。见 [METHODOLOGY.md](docs/METHODOLOGY.md)。 - 纯静态站点，无后端、无构建，克隆后双击即开。 - 管线全开源：会议索引 → PDF 下载 → Figure 1 裁剪 → 质量打分 → dHash 去重 → 人工复核。 ### 🛠️ FigureForge Beta FigureForge 基于画廊生成你的 Figure 1 初稿：描述论文，3,452 张顶会主图作为版式参考。免注册、无服务器，全部在浏览器本地运行。**[立即试用 →](forge/index.html)**

FigureForge 流程演示：输入论文、检索参考图、生成位图初稿

**[▶ 完整演示视频，1 分 58 秒，有声音](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/docs/demo.html)** [![▶ FigureForge 演示视频](assets/figureforge-demo-poster.jpg)](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/docs/demo.html) 1. **输入论文**：粘贴标题和摘要、上传 PDF（步骤一的模型直接阅读，按概览、架构、流程、结果总结相关章节），或写一句话讲清「输入 → 方法 → 输出」。 2. **选模式**：系统或多智能体总览选 `framework`，端到端流程选 `pipeline`，模型内部结构选 `architecture`，视觉隐喻选 `conceptual`；另有 `teaser`、`taxonomy`。 3. **勾选参考图**：CLIP + BM25 混合检索全量 3,452 张图，卡片上显示相关度评分。两阶段模式勾至少 4 张同类型图（最多 10 张，越接近 10 张版式参考越充分），直接模式勾 2–4 张。 ![挑选参考图](forge/tutorial/02_pick_refs.png) 4. **两阶段：先归纳，再生成**：视觉模型先读参考图，归纳共同的布局、元素、配色和层级，挑出 4–6 张代表图，再生成。 ![两阶段归纳](forge/tutorial/03_analyze.png?v=20261002) 5. **选模式、填 Key、下载**：SVG 模式文字准确、可用 Figma / draw.io / Illustrator 编辑；位图模式版式地道，在 PPT / Figma 核对即可。Key 只存在本机浏览器。 > 直接在通用对话框写 prompt，得到的是通用流程图。FigureForge 以顶会图为版式参考，初稿保留论文图的面板网格、对比叙事和克制配色。 > ![效果对比](forge/tutorial/compare.png?v=20261002) - 全流程浏览器本地运行：CLIP 模型和画廊索引随仓库打包；论文内容和 Key 不离开设备，Key 只发往所选服务商。 - 自带 Key：预置火山方舟、硅基流动、智谱、DeepSeek、OpenAI、月之暗面、通义千问、腾讯混元、Anthropic，以及任意 OpenAI 兼容中转。 - 模型列表自动更新：打开时刷新内置清单，填入 Key 后拉取服务商实时 `/models`。Anthropic 无列表接口；混元、Anthropic 不支持浏览器跨域，这两家用中转。 - 能力边界：Figure 1 场景的高质量初稿，文字和数字提交前需人工核对。 - 纯开源、永不收费：MIT 许可，Key 费用直接付给模型厂商。欢迎提 PR 补论文、补会议、修标签，画廊每年随新论文集持续更新。 ### 补充论文或图片 不会写代码也可以：开一个 [Suggest a figure](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/issues/new?template=add-figure-request.md) Issue，贴上论文链接。提 PR 前看 [CONTRIBUTING.md](CONTRIBUTING.md)，含元数据格式和收录标准。欢迎 CHI / RSS / CoRL 等新会议。 图片版权归原作者和出版方；教育用途与 72 小时下架政策见 [IMAGES_POLICY.md](IMAGES_POLICY.md)。 --- ## 📊 收录规模 / Coverage | Venue 会议 | 2023 | 2024 | 2025 | 2026 | Total 合计 | |---|---:|---:|---:|---:|---:| | 🟣 **ICLR** | 108 | 135 | 274 | 228 | **745** | | 🟢 **ICML** | 63 | 131 | 216 | 338 | **748** | | 🔴 **NeurIPS** | 236 | 363 | 367 | — | **966** | | 🟠 **CVPR** | 65 | 64 | 96 | 83 | **308** | | 🔵 **ACL** | 84 | 74 | 168 | 58 | **384** | | 🟡 **AAAI** | 59 | 66 | 139 | 37 | **301** | | | | | | **Total 总计** | **3452** | ### 🏅 高等级论文 / High-tier papers ICLR / ICML 含 2023–2026；NeurIPS 含 2023–2025（2026 名单未公布）。 | Venue 会议 | Best / Outstanding | Oral | Spotlight | Total | |---|---:|---:|---:|---:| | 🟣 **ICLR** | 10 | 337 | 155 | **502** | | 🟢 **ICML** | 13 | 247 | 558 | **818** | | 🔴 **NeurIPS** | 3 | 32 | 237 | **272** | > 角标：红 = Best / Outstanding（含 Honorable Mention）、金 = Oral、银 = Spotlight。 > 口径以官方名单为准：ICLR 2023 的 notable top 5% 记为 Oral、top 25% 记为 Spotlight；ICML 2023 只有 OralPoster，记为 Oral；ICLR 2026 只设 Oral 与 Poster，无 Spotlight。 > 图片从正式出版 PDF 裁剪（约 180–216 DPI），网页版压缩为 ≤1500px JPEG，标注标题、全部作者和原文链接。各会议图量差异反映设计型主图的实际占比，与会议水平无关。 ## 🧭 视觉模式 / Visual patterns 标签描述图的视觉功能，不是论文领域。 | Tag 标签 | 含义 Meaning | 代表 Examples | |---|---|---| | `conceptual` | 用视觉隐喻讲清核心概念 / visual metaphor for a core idea | DPO, Tree of Thoughts, HippoRAG | | `framework` | 系统或智能体模块协作总览 / system or agent overview | HuggingGPT, SWE-agent, MetaGPT | | `pipeline` | 端到端阶段式数据流 / staged end-to-end data flow | LRM, VidMan, LiveStar | | `architecture` | 模型内部层与张量连接 / internal layers and tensor connections | BLIP-2, Caduceus, Medusa | | `taxonomy` | 任务、能力或数据全景 / benchmark overview | EmbodiedBench, SimWorld | | `teaser` | 经过版式设计的图文混排主视觉 / designed mixed-layout visual | VIMA, PixArt-α | ## 🚀 快速开始 / Quick start 在线浏览 / Online: [GitHub Pages](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/)。 本地运行 / Local server: ```bash git clone https://github.com/qwdwqfwq/topconf-paper-figure-gallery.git cd topconf-paper-figure-gallery python -m http.server 8000 # open http://localhost:8000 ``` 或直接双击 `index.html`（数据内联在 `assets/figures.js`，无需联网）。 Or double-click `index.html`; data is inlined in `assets/figures.js`. ## 🗃️ 仓库结构 / Structure ``` ├── index.html # 画廊主页 gallery shell（搜索 / 筛选 / 灯箱） ├── assets/ │ ├── style.css / app.js # 样式与交互 │ └── figures.js # 图片元数据（由 data/figures.json 生成） ├── images//final/ # 画廊图片 ≤1500px JPEG ├── data/ │ ├── figures.json # 画廊唯一权威清单 single source of truth │ └── pool/ # 全量候选论文池 ├── scripts/ # 数据管线，见 docs/METHODOLOGY.md ├── docs/ # 方法文档、banner、演示 ├── forge/ # FigureForge：浏览器端检索与初稿生成 └── .github/workflows/ # GitHub Pages 自动部署 ``` ## 🔧 数据管线与复现 / Reproduce the pipeline 详见 [docs/METHODOLOGY.md](docs/METHODOLOGY.md)： ```bash pip install -r requirements.txt python scripts/build_pool.py # ICLR / ICML / NeurIPS 候选池 python scripts/extract_all.py # 下载 PDF、裁剪 Figure 1（断点续跑） python scripts/build_pool_new.py cvpr,acl,aaai python scripts/extract_new.py cvpr,acl,aaai 12 python scripts/score_select.py 980 # reject 规则、设计感评分、dHash 去重、选图 python scripts/assemble_gallery.py 1000 # 生成 figures.json / figures.js python scripts/clean_stale.py # 删除无引用图片 python scripts/enum_sheets.py iclr # 40 格/页联系表，人工逐页复核 python scripts/sheet_qa.py 31 # 随机抽样复核 ``` ## 🗺️ Roadmap > 版本对照 / Versioning — releases 遵循 0.x semver：**v0.3**（六个会议，2,298 张，2026-09-20 发布）、**v0.4**（录取等级角标，2,730 张）、**v0.5**（2026 论文，3,528 张）、**v0.6**（FigureForge；去除 12 张跨代重复，3,516 张）。小红书按发帖计数：v1 = v0.3、v2 = v0.4、v3 = v0.6（v0.5 并入 v3 帖）。 - [x] 60 张人工精选种子画廊（v0.1） - [x] ICLR / ICML / NeurIPS 自动管线扩量（v0.2–v0.3） - [x] CVPR / ACL / AAAI（2023–2025）同管线扩展（v0.3） - [x] Oral · Spotlight · Best Paper 等级索引与角标（v0.4） - [x] 2026 已公开会议主图与等级角标（v0.5） - [x] FigureForge：浏览器端 CLIP+BM25 检索、自有 API 生成初稿（v0.6） - [ ] CVPR / ACL / AAAI 的 Oral / Highlight 等级索引 - [ ] NeurIPS 2026 录用公布后补全（预计 2026 年 12 月） - [ ] 持续人工复核，开放社区 PR 补图 - [ ] CHI / CoRL / RSS / EMNLP 等会议扩展 - [ ] 相似图推荐、按配色检索、一键导出 BibTeX ## 🤝 贡献 / Contributing 欢迎补图、修标签、修 bug、扩展新会议。不会写代码可直接开 [Suggest a figure](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/issues/new?template=add-figure-request.md) Issue，贴上论文链接。提 PR 前读 [CONTRIBUTING.md](CONTRIBUTING.md)，注意收录标准：不收纯照片墙和默认图表（折线图 / 柱状图 / 散点图 / 热力图这类「脚本就能画出来」的图会在收录时被 `scripts/filter_charts.py` 筛掉）。 ### 🌟 贡献者 / Contributors 感谢以下社区贡献者（按贡献采纳时间排序），他们的实现均已合入当前版本： | 贡献者 | 贡献内容 | PR | |---|---|---| | [@timelic](https://github.com/timelic) | 画廊灯箱共享元素过渡动画（View Transitions），以及作者名单、查看图片 / 论文链接、等级角标、圆角与分隔符等细节打磨 | [#2](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/pull/2) · [#3](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/pull/3) | | [@TansyZenix](https://github.com/TansyZenix) | 灯箱 Tab 焦点限制、生成 SVG 预览的 `sandbox` 隔离、参考图卡片键盘选择与 ARIA 状态、数据校验 CI（`scripts/validate_gallery.py` + workflow） | [#5](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/pull/5) · [#6](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/pull/6) · [#7](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/pull/7) · [#8](https://github.com/qwdwqfwq/topconf-paper-figure-gallery/pull/8) | Thanks to [@timelic](https://github.com/timelic) and [@TansyZenix](https://github.com/TansyZenix) — their lightbox transitions, SVG sandboxing, keyboard accessibility and the data-validation CI all ship in the current release. Contributions are credited in [CHANGELOG.md](CHANGELOG.md) as well; PRs for new papers, venues and label fixes are always welcome. ## ⚠️ 版权 / Copyright 图片版权归原作者与出版方，本仓库仅作非商业教育、研究用途的署名索引。ICLR / ICML(PMLR) / NeurIPS / CVPR(CVF) / ACL 正式出版论文多为 CC BY 4.0；AAAI 论文为 fair-use 学术参考。如需下架，请提 Issue 或邮件 **939123836@qq.com**，核实后 72 小时内删除。详见 [IMAGES_POLICY.md](IMAGES_POLICY.md)。 ## 📌 引用 / Citation ```bibtex @misc{topconf_figure_gallery, title = {Top-Conf Figure Gallery: A Curated Gallery of Figure 1 / Teaser Designs from ICLR, ICML, NeurIPS, CVPR, ACL and AAAI (2023-2026)}, year = {2026}, url = {https://github.com/qwdwqfwq/topconf-paper-figure-gallery} } ``` ## 🖼️ 精选图录 / Curated catalog 每会议-年份评分最高的 2 张；完整 3,452 张见[在线画廊](https://qwdwqfwq.github.io/topconf-paper-figure-gallery/)。
**ICLR** |
2023 · NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning |
2023 · Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Net… |
2024 · Online Stabilization of Spiking Neural Networks | |---|---|---| |
2024 · Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation |
2025 · GraphArena: Evaluating and Exploring Large Language Models on Graph Computation |
2025 · Open-World Reinforcement Learning over Long Short-Term Imagination |
**ICML** |
2023 · Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Natur… |
2023 · AudioLDM: Text-to-Audio Generation with Latent Diffusion Models |
2024 · Bridging Environments and Language with Rendering Functions and Vision-Language Models | |---|---|---| |
2024 · Recurrent Early Exits for Federated Learning with Heterogeneous Clients |
2025 · Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing |
2025 · R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimiza… |
**NeurIPS** |
2023 · SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks |
2023 · LayoutPrompter: Awaken the Design Ability of Large Language Models |
2024 · A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences | |---|---|---| |
2024 · Task Me Anything |
2025 · SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference |
2025 · RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Tas… |
**CVPR** |
2023 · TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets |
2023 · Detecting and Grounding Multi-Modal Media Manipulation |
2024 · Learning Large-Factor EM Image Super-Resolution with Generative Priors | |---|---|---| |
2024 · VBench: Comprehensive Benchmark Suite for Video Generative Models |
2025 ·
2025 ·
2023 · C on FEDE : Contrastive Feature Decomposition for Multimodal Sentiment Analysis |
2023 · Prosody- TTS : Improving Prosody with Masked Autoencoder and Conditional Diffusion Model Fo… |
2024 · DELL : Generating Reactions and Explanations for LLM -Based Misinformation Detection | |---|---|---| |
2024 · G rounding GPT : Language Enhanced Multi-modal Grounding Model |
2025 · N eg VQA : Can Vision Language Models Understand Negation? |

2025 · A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns |
**AAAI** |
2023 · MDM: Molecular Diffusion Model for 3D Molecule Generation |
2023 · What Does Your Face Sound Like? 3D Face Shape towards Voice |
2024 · PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of Vi… | |---|---|---| |
2024 · Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement |
2025 · EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models |
2025 · Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discov… | 图片版权归原作者及出版方所有，点击图片跳转原文。 ## ⭐ Star History Star History Chart