Talking Face Generation with Multilingual TTS
π
563
Generate multilingual talking-face videos from your text
AI & ML interests
CVPR Demo Track @ CVPR 2022
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deepkyuΒ
updated a
Space about 1 month ago
gagan3012Β
authored a
paper 2 months ago
gagan3012Β
submitted a
paper to Daily Papers 2 months ago
Post
501
Shipped v0.1.2 of vtx β a minimalist coding agent for the terminal.
Most agentic CLIs ship 10k+ token system prompts. Vtx is ~2,200. Less prompt overhead means more room for your code in the model's context window.
Vtx is a from-scratch Python implementation of the design philosophy behind pi-mono β same principles, pure Python, no transpiled runtime.
What ships out of the box:
β Textual TUI + headless CLI (vtx -p "fix the failing test")
β 49 LLM provider gateways, all declared in a single provider.yaml
β 5 core tools (read / edit / write / bash / find) plus web search and fetch
β Session tree with compaction, handoff, and resume
β AGENTS.md / CLAUDE.md auto-discovery
β Skills system β drop SKILL.md files in .agents/skills/ and they become slash commands
β Two OAuth flows (GitHub Copilot device flow, OpenAI Codex PKCE)
β Two-mode permissions: prompt (default) or auto, with a safe-command allowlist
This release adds a proper extension system. Register new LLM-callable tools, intercept tool calls, hook lifecycle events, and add slash commands from a single register(api) function in a Python file under ~/.vtx/agent/extensions/. Extensions can override built-in tools by name and chain handler logic across subscribers.
Apache 2.0. uv tool install vtx-coding-agent and you're running.
GitHub: https://github.com/OEvortex/vtx-coding-agent
PyPI: https://pypi.org/project/vtx-coding-agent
Built in the open. Feedback, extensions, and PRs welcome.
Most agentic CLIs ship 10k+ token system prompts. Vtx is ~2,200. Less prompt overhead means more room for your code in the model's context window.
Vtx is a from-scratch Python implementation of the design philosophy behind pi-mono β same principles, pure Python, no transpiled runtime.
What ships out of the box:
β Textual TUI + headless CLI (vtx -p "fix the failing test")
β 49 LLM provider gateways, all declared in a single provider.yaml
β 5 core tools (read / edit / write / bash / find) plus web search and fetch
β Session tree with compaction, handoff, and resume
β AGENTS.md / CLAUDE.md auto-discovery
β Skills system β drop SKILL.md files in .agents/skills/ and they become slash commands
β Two OAuth flows (GitHub Copilot device flow, OpenAI Codex PKCE)
β Two-mode permissions: prompt (default) or auto, with a safe-command allowlist
This release adds a proper extension system. Register new LLM-callable tools, intercept tool calls, hook lifecycle events, and add slash commands from a single register(api) function in a Python file under ~/.vtx/agent/extensions/. Extensions can override built-in tools by name and chain handler logic across subscribers.
Apache 2.0. uv tool install vtx-coding-agent and you're running.
GitHub: https://github.com/OEvortex/vtx-coding-agent
PyPI: https://pypi.org/project/vtx-coding-agent
Built in the open. Feedback, extensions, and PRs welcome.
gagan3012Β
authored a
paper 4 months ago
gagan3012Β
submitted a
paper to Daily Papers 4 months ago
Post
6365
Sharing how I built the LongCat-Video-Avatar 1.5 Space (+500k views on X) in one agent session. Gave a coding agent its own AI lab on ZeroGPU, framed the goal, walked away. It designed, deployed, tested against the live API, fixed, shipped.
Full recipe with the copy-paste prompt: https://huggingface.co/blog/victor/building-zerogpu-spaces-autonomously
Full recipe with the copy-paste prompt: https://huggingface.co/blog/victor/building-zerogpu-spaces-autonomously
- 1 reply
IAMJBΒ
authored a
paper 6 months ago
gagan3012Β
authored a
paper 6 months ago
Post
6355
Want to share my enthusiasm for zai-org/GLM-5.1 here too π₯
I think we have it: our open source Claude Code = GLM-5.1 + Pi (https://pi.dev/) - Built a Three.js racing game to eval and it's extremely impressive. Thoughts:
- One-shot car physics with real drift mechanics (this is hard)
- My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen
- 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters
- All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio!
- Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed
You are going to hear about this model a lot in the next months - open source let's go - and thanks z-aiππ
I think we have it: our open source Claude Code = GLM-5.1 + Pi (https://pi.dev/) - Built a Three.js racing game to eval and it's extremely impressive. Thoughts:
- One-shot car physics with real drift mechanics (this is hard)
- My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen
- 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters
- All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio!
- Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed
You are going to hear about this model a lot in the next months - open source let's go - and thanks z-aiππ
- 5 replies
abidlabsΒ
updated a
Space 7 months ago
gagan3012Β
authored 2
papers 7 months ago
gagan3012Β
submitted 2
papers to Daily Papers 7 months ago
seravee008Β
authored 5
papers 7 months ago
Helios: Real Real-Time Long Video Generation Model
Paper β’ 2603.04379 β’ Published β’ 176
Adaptive 1D Video Diffusion Autoencoder
Paper β’ 2602.04220 β’ Published β’ 5
FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space
Paper β’ 2602.02092 β’ Published β’ 18
Focal Guidance: Unlocking Controllability from Semantic-Weak Layers in Video Diffusion Models
Paper β’ 2601.07287 β’ Published β’ 6
Bringing Characters to New Stories: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
Paper β’ 2501.15641 β’ Published β’ 1